Impact Evaluation of Feed the Future Cambodia · Web viewHelping Address Rural Vulnerabilities and...

Impact Evaluation of Feed the Future Cambodia

Helping Address Rural Vulnerabilities and Ecosystem Stability (HARVEST) Project

Study Documentation -- Endline Survey Data

(Metadata and Code Book)

May 1, 2017

Metadata ProductionMetadata Producer(s) Michigan State University, Study implementerProduction Date May 1, 2017Identification N/A

About the Dataset

Description Helping Address Rural Vulnerabilities and Ecosystem Stability (Cambodia-HARVEST) was a five-year program (2011-2016), supported by the United States Agency for International Development (USAID) under the Global Hunger and Food Security Initiative (GHFSI) and the Global Climate Change (GCC) and Biodiversity earmarks of the United States. The Cambodia HARVEST program set strategic goals to improve food security, strengthen natural resource management and resilience to climate change, and increase the capacity of the public and private sectors and civil society to support agricultural competitiveness. Implemented in four targeted provinces of Cambodia -- Kampong Thom, Siem Reap, Pursat, and Battambang -- HARVEST project focuses of program activities are sub-divided into five major components: Agribusiness Value Chains demonstrates innovative technologies and solutions that will increase farmer productivity and incomes to improve food security and reduce poverty; initiatives in Aquaculture and Fisheries advance fish-raising practices to improve productivity, augment protein consumption, and diversify incomes from sales of surplus fish and processed fish products; Natural Resource Management, Biodiversity, and Climate Change services promote community-based management of forests and protected areas through woodlots, tree nurseries, agroforestry, and non-timber forest product production, while working to strengthen climate change mitigation through education, training and technological advancements. Social Inclusion, Business Development Services, and Capacity Development activities promote improved livelihoods, nutrition, and food security among marginalized groups and build the business skills and knowledge of Cambodians. The Policy and Enabling Environment component worked with local partners and government to initiate policy reforms and eliminate obstacles to development. The progress and achievements of the Cambodia HARVEST program are evaluated through the monitoring and impact evaluation study, which sets indicators to measure the performance of Cambodia HARVEST in producing outputs and achieving goals. A baseline survey was conducted in 2012 to capture the pre-treatment conditions of the beneficiaries and a comparison group. This endline survey represents post-treatment data for the impact evaluation to test the effects of program interventions on selected outcomes.

Sampling Cambodia-HARVEST impact evaluation used the cluster sampling approach, with households as the basic sampling unit. Based on the power calculation and available resources, 60 village clusters were selected for the treatment group and 24 (six per province) for the comparison group, and during the baseline survey data were collected from 25 observations per cluster, giving a sample of 1500 Cambodia HARVEST beneficiary households (treatment group) and 600 Cambodia HARVEST non-beneficiary households (comparison group) in the baseline dataset. The list of treatment and control villages were provided by HARVEST project team. Data were collected from a total impact evaluation sample of 2100 households in the baseline survey. The households within the treatment villages were selected randomly from the list of beneficiary households selected by HARVEST to receive home garden, rice, and aquaculture value chain interventions.

To accommodate for attrition and other demographic changes that impacts the sample of households with children less than 5 years, the sample size was increased by about 10 percent in the endline survey. So, an additional 228 households were added to the baseline 2100 households. A total of 2328 households were surveyed in 2016 (endline survey), with 1680 households as treatment households from 60 target villages of the HARVEST program and 648 households as comparison households from 24 control villages.

Method The survey was conducted by interviewing the main decision maker in the household and women (who were either head of the household or spouse of the head). The interview was based on a structured questionnaire, which was translated into Khmer. The questionnaire collected information on household, farm, and individual characteristics that would potentially be influenced by Cambodia-HARVEST. Specifically, the survey collected information about household characteristics, farm characteristics related to rice, vegetable, fish production, and farmers’ perception and opinion of the program, their participation, and the adoption status of various agricultural technologies prompted by Cambodia-HARVEST, women empowerment, anthropometrics and food consumption data for women 15-49 years age and children less than 5 years old. Cambodia Development Resource Institute (CDRI) conducted the survey with technical support and supervision by Michigan State University.

Table of ContentsOverview.............................................................................................................................................................4Scope & Coverage ..............................................................................................................................................4Producers & Sponsors .........................................................................................................................................4Data Collection ....................................................................................................................................................4Data Processing & Appraisal ..............................................................................................................................5Accessibility........................................................................................................................................................5Files Description .................................................................................................................................................6

harvest_module_ab_2016................................................................................................................6harvest_module_c_2016..................................................................................................................6harvest_module_d_2016.................................................................................................................6harvest_module_e1_2016................................................................................................................6harvest_module_e2_2016................................................................................................................6harvest_module_e3_2016................................................................................................................6harvest_module_e4_2016................................................................................................................6harvest_module_e5_2016................................................................................................................6harvest_module_e6_2016................................................................................................................6harvest_module_e7_2016................................................................................................................7harvest_module_e8_2016................................................................................................................7harvest_module_f_2016..................................................................................................................7harvest_module_h_2016.................................................................................................................7harvest_module_i_2016..................................................................................................................7harvest_module_j1_2016................................................................................................................7harvest_module_j2a_2016...............................................................................................................7harvest_module_j2b_2016..............................................................................................................7harvest_module_j2c_2016...............................................................................................................7harvest_module_j3a_2016...............................................................................................................8harvest_module_j3b_2016..............................................................................................................8harvest_module_j4_2016................................................................................................................8harvest_module_k1ab_2016............................................................................................................8harvest_module_k2_2016...............................................................................................................8harvest_module_k3_2016...............................................................................................................8harvest_module_l1_2016................................................................................................................8harvest_module_l2_2016................................................................................................................8harvest_module_l3_2016................................................................................................................8harvest_module_x1_2016...............................................................................................................9harvest_module_x2_2016...............................................................................................................9

Variables List ....................................................................................................................................................10harvest_module_ab_2016..............................................................................................................10harvest_module_c_2016................................................................................................................11harvest_module_d_2016...............................................................................................................12harvest_module_e1_2016..............................................................................................................14harvest_module_e2_2016..............................................................................................................15harvest_module_e3_2016..............................................................................................................15harvest_module_e4_2016..............................................................................................................15harvest_module_e5_2016..............................................................................................................15harvest_module_e6_2016..............................................................................................................16harvest_module_e7_2016..............................................................................................................16harvest_module_e8_2016..............................................................................................................16harvest_module_f_2016................................................................................................................17harvest_module_h_2016...............................................................................................................17harvest_module_i_2016................................................................................................................22harvest_module_j1_2016..............................................................................................................26harvest_module_j2a_2016.............................................................................................................27

harvest_module_j2b_2016............................................................................................................28harvest_module_j2c_2016.............................................................................................................30harvest_module_j3a_2016.............................................................................................................31harvest_module_j3b_2016............................................................................................................31harvest_module_j4_2016..............................................................................................................31harvest_module_k1ab_2016..........................................................................................................32harvest_module_k2_2016.............................................................................................................32harvest_module_k3_2016.............................................................................................................32harvest_module_l1_2016..............................................................................................................33harvest_module_l2_2016..............................................................................................................33harvest_module_l3_2016..............................................................................................................34harvest_module_x1_2016.............................................................................................................34harvest_module_x2_2016.............................................................................................................37

Variables Description ........................................................................................................................................38harvest_module_ab_2016..............................................................................................................39harvest_module_c_2016................................................................................................................46harvest_module_d_2016...............................................................................................................56harvest_module_e1_2016..............................................................................................................65harvest_module_e2_2016..............................................................................................................68harvest_module_e3_2016..............................................................................................................69harvest_module_e4_2016..............................................................................................................70harvest_module_e5_2016..............................................................................................................71harvest_module_e6_2016..............................................................................................................72harvest_module_e7_2016..............................................................................................................78harvest_module_e8_2016..............................................................................................................80harvest_module_f_2016................................................................................................................82harvest_module_h_2016...............................................................................................................84harvest_module_i_2016..............................................................................................................107harvest_module_j1_2016............................................................................................................124harvest_module_j2a_2016...........................................................................................................129harvest_module_j2b_2016..........................................................................................................134harvest_module_j2c_2016...........................................................................................................140harvest_module_j3a_2016...........................................................................................................143harvest_module_j3b_2016..........................................................................................................146harvest_module_j4_2016............................................................................................................147harvest_module_k1ab_2016........................................................................................................151harvest_module_k2_2016...........................................................................................................153harvest_module_k3_2016...........................................................................................................154harvest_module_l1_2016............................................................................................................155harvest_module_l2_2016............................................................................................................158harvest_module_l3_2016............................................................................................................161harvest_module_x1_2016...........................................................................................................164harvest_module_x2_2016...........................................................................................................176

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Helping Address Rural Vulnerabilities and Ecosystem Stability (HARVEST) Project in Cambodia

OverviewType Edited, anonymous dataset for public distributionIdentification N/AVersion v01Kind of Data Sample survey data [ssd]Unit of Analysis Households and individual (Women, Children) Language Survey was implemented in Khmer Questionnaires Available in both English and Khmer versions

Scope & CoverageTime Period(s) 2016Country CambodiaProvince coverage: Rural areas in four Provinces – Kampong Thom, Siem Reap, Pursat, and Battambang

Producers & SponsorsPrimary Investigator(s) Mywish Maredia, Murari Suvedi, Raul Pitoro, Raju Ghimire, Michigan State University

(MSU)Funding Agency/ies U.S. Agency for International Development (USAID)

Data CollectionData Collection Dates August 8 – October 10, 2016Data collection notes: The field data collection started from first week of August and end in last week of

September, lasting for 52 days. The training of enumerators for field data collection took place over seven days from 25 July to 2 August 2016 - five days in the training room and two days in the field. On training day 1, the Cambodia Development Research Institute (CDRI) team first briefed enumerators on the HARVEST program and the objectives of the endline survey. After the enumerators had read the questionnaire, the CDRI team explained all modules, especially modules H and I. On day 2, the enumerators pre-tested the questionnaire in villages that have similar characteristics to the HARVEST treatment villages. The pre-test emulated real interview situations in that each enumerator administered all three parts of the survey questionnaire, noting any problems for discussion later. On days 3 and 4, the CDRI team resolved difficulties reported by enumerators and clarified problematic areas across all modules, and then enumerators practiced interviewing each other to make sure they understood the questions and felt comfortable using the survey tool. The second pre-test was conducted on day5, the survey tool was further clarified and finalised on day 6, and another round of in-class interview practice was done on day7 when the CDRI team also went through the sampling procedures and field data logistics with the enumerator group leaders.

Data collectors: Sim Sokcheng, Khiev Pirom, Chhim Chhun, Pon Dary (CDRI)Supervision: A pool of around 60 highly experienced and qualified enumerators to call upon. These

enumerators are government ministry (of Planning, Women's Affairs, Rural Development) and provincial department officials, high school teachers, and undergraduates. They are experienced in conducting interviews. Forty enumerators were employed to carry out the HARVEST endline survey. They were formed into eight groups, each comprising five enumerators with two team leaders. Team leaders arranged

-5-

fieldwork logistics, supervised data collection and sample selection, and undertook data quality and consistency control.

Data Processing and AppraisalData Editing CDRI (Data collection firm): Office editing, completeness checking

Data Entry conducted by 24 data entry clerks is CsPro (September 1-21 2016) and converted to STATA 14.0 for data cleaning and analysisMSU: Completeness checking, secondary editing

AccessibilityAccess Conditions Data has been anonymized and ready for public use.

Citation RequirementsUse of the dataset must be acknowledged using a citation which would include:- the Identification of the Primary Investigator- the title of the survey (including country, acronym and year of implementation)- the source and date of download

Citation of Published Report:Maredia, M., Suvedi, M., Pitoro, R., Ghimire, R. (2017). Impact Evaluation of Feed the Future Cambodia Helping Address Rural Vulnerabilities and Ecosystem Stability (HARVEST) Project. East Lansing, Michigan State University.

USAID Cambodia-HARVEST Program- ENDLINE SURVEY DATA - Files Description

- 6 -

Files DescriptionDataset contains 29 file(s)

harvest_module_ab_2016# Cases 2328

# Variable(s) 27

harvest_module_c_2016# Cases 13340

# Variable(s) 30

harvest_module_d_2016# Cases 2328

# Variable(s) 35

harvest_module_e1_2016# Cases 174600

# Variable(s) 8


# Variable(s) 4


# Variable(s) 4


# Variable(s) 4


# Variable(s) 4


- 7 -

harvest_module_e6_2016

# Cases4685


- 8 -

# Variable(s) 9


# Variable(s) 5


# Variable(s) 6

harvest_module_f_2016# Cases 2328

# Variable(s) 7

harvest_module_h_2016# Cases 2727

# Variable(s) 101

harvest_module_i_2016# Cases 1075

# Variable(s) 72

harvest_module_j1_2016# Cases 9125

# Variable(s) 22

harvest_module_j2a_2016# Cases 8121

# Variable(s) 34

harvest_module_j2b_2016# Cases 799

# Variable(s) 34

harvest_module_j2c_2016# Cases 9304

# Variable(s) 11


- 9 -

harvest_module_j3a_2016# Cases 60502

# Variable(s) 11

harvest_module_j3b_2016# Cases 20969

# Variable(s) 5

harvest_module_j4_2016# Cases 4775

# Variable(s) 7

harvest_module_k1ab_2016# Cases 2328

# Variable(s) 7

harvest_module_k2_2016# Cases 136

# Variable(s) 6

harvest_module_k3_2016# Cases 522

# Variable(s) 5

harvest_module_l1_2016# Cases 41904

# Variable(s) 11


# Variable(s) 11


# Variable(s) 10


-

harvest_module_x1_2016# Cases 2328

# Variable(s) 48

harvest_module_x2_2016# Cases 25608

# Variable(s) 10

USAID Cambodia-HARVEST Program- ENDLINE SURVEY DATA - Variables List

-

Variables ListDataset contains 548 variable(s)

File harvest_module_ab_2016# Name Label Type Format Valid Invalid Question

1 a01 A01 Household id continuous numeric-12.0 2328 0 -

2 panel 1=panel HHs discrete numeric-9.0 2328 0 -

3 attrition 1=HH attrited (not re- interviewed in 2016)

discrete numeric-9.0 2100 228 -

4 a01a A01A Household sample type


5 a02 A02 Village Group discrete numeric-25.0 2328 0 -

6 a03 A03 Village code continuous numeric-18.0 2328 0 -

7 a04 a04.1 Commune name discrete numeric-16.0 2328 0 -

8 a05 a05.1 District name discrete numeric-17.0 2328 0 -

9 a06 a06.1 province name discrete numeric-12.0 2328 0 -

10 a08 A08 Type of Technical Assistance from HARVEST


11 a09 A09 Type of household discrete numeric-96.0 2328 0 -

12 a10a A10A Primary Respondent Name and ID (from Module C)


13 a11a A11A Secondary Respondent Name and ID (from Module C)


14 a11a_2012 A11A.2012 Poverty status as defined by the government


15 a11a_2016 A11A.2016 Poverty status as defined by the government


16 b01 B01 Do you agree to be discrete numeric-8.0 2328 0 -interviewed

17 b01a B01A ID member from discrete numeric-10.0 2328 0 -module C

18 b01_1 B01.1 Do you agree to be interviewed


19 b01a_1 B01A.1 ID member from module C


20 b03 B03 How many woman respondents 15 years and above did not consent


21 giz Villages overlapped with GIZ areas


22 con1 Contaminated village defined by Fintract


23 con2 Possible contaminated village record from A08


24 group Type: Treatment / Control Group



-

File harvest_module_ab_2016# Name Label Type Format Valid Invalid Question

25 trt_new New treatment variable- excludes dropouts


26 trt_old New treatment variable- includes dropouts


27 group1 New control_treatment: with contamination1


17 cn04

18 cn04a

File harvest_module_c_2016# Name Label Type Format Valid Invalid Question

1 a01 a01 household id continuous numeric-12.0 13340 0 -

2 c01 c01 items discrete numeric-10.0 13340 0 -

3 c03 c03 What is [NAME’s] discrete numeric-10.0 13340 0 -relationship to householdhead?

4 c04 c04 What is [NAME’s] sex? discrete numeric-10.0 13340 0 -

5 c05 c05 What is [NAME’s] age? (Converted post-submission to discrete with 5 year categories to protect the privacy of respondents)

continuous numeric-10.0 13340 0 -

6 c06 c06 Can [NAME] read and discrete numeric-10.0 12498 842 -write?

7 c07 c07 Has [NAME] ever attended school?


8 c08 c08 What is the highest grade discrete numeric-10.0 10844 2496 -of education completed

9 c09 c09 Is [NAME] currently discrete numeric-10.0 10844 2496 -attending school?

10 c10 c10 Has [NAME] attended discrete numeric-10.0 10844 2496 -school last year?

11 c11 c11 If [NAME] attended discrete numeric-10.0 104 13236 -school last year (C10=1) butis not attending this year (

12 cn01 CN01 How many brothers discrete numeric-8.0 2328 11012 -and sisters do you have? Askonly to the head 2016

13 cn02a CN02A Month of birth date discrete numeric-9.0 1093 12247 -if child less than 5 years old

14 cn02b CN02B Year of birth date if child less than 5 years old

discrete character-4 1093 0 -

15 cn03 CN03 Was [NAME] born in this village?


16 cn03a CN03A If born outside this village, please indicate the province / country


CN04 Household member discrete numeric-8.0 13340 0 -status in 2016 compared to2012 baseline

CN04A For those that joined discrete numeric-31.0 1162 12178 -


-

29 cn10

30 cn11

4 d02_2012

5 d02

File harvest_module_c_2016# Name Label Type Format Valid Invalid Question

19 cn04b CN04B For those that left the household, what is the main reason?


20 cn04c CN04C Where did [NAME] discrete numeric-28.0 2104 11236 -go?

21 cn05a CN05A.2012 What is discrete numeric-30.0 9826 3514 -[NAME] main occupation?(for members who are than10 years ol

22 cn05b CN05B.2016 What is [NAME] main occupation? (for members who are than 10 years ol


23 cn06 CN06 In the past 5 years, has ? [NAME] lived outside this village and returned h


24 cn06a CN06A If yes, where did .. [NAME] go and then reture home?


25 cn06b CN06B Why did [NAME]reture?


26 cn07 CN07 Is [NAME] a member discrete numeric-8.0 9986 3354 -of any organization or group?

27 cn08 CN08 If yes, year when discrete numeric-10.0 1769 11571 -[NAME] first became amember of an organization?in year

28 cn09 CN09 In the past week, how many hours did [name] spend on agricultural activitie


CN10 In the past week, how continuous numeric-8.0 9986 3354 -many hours did [name] spendon agricultural activitie

CN11 In the past week, how continuous numeric-8.0 9986 3354 -many hours did [name] spendon non-agricultural emplo

File harvest_module_d_2016# Name Label Type Format Valid Invalid Question


2 d01_2012 D01.2012 What is the main discrete numeric-81.0 407 1921 -construction material of yourdwelling?s roof?

3 d01 D01. What is the main construction material of your dwelling's roof?


D02.2012 What is the main discrete numeric-22.0 407 1921 -construction material of yourdwelling?s floor?

D02. What is the main discrete numeric-22.0 2328 0 -construction material of yourdwelling's floor?


-


6 d03_2012 D03.2012 What is the main construction material of your dwelling?s exterior wall


7 d03 D03. What is the main construction material of your dwelling's exterior wall


8 d04_2012 D04.2012 How many rooms are there in this dwelling?


9 d04 D04. How many rooms are discrete numeric-8.0 2328 0 -there in this dwelling?

10 d05_2012 D05.2012 What is the main discrete numeric-78.0 407 1921 -type of toilet your householduses?

11 d05 D05. What is the main type of toilet your household uses?


12 d06_2012 D06.2012 What is the main source of drinking water for your household?


13 d06 D06. What is the main source of drinking water for your household?


14 d07_2012 D07.2012 What is the main lighting source for your household?


15 d07 D07. What is the main discrete numeric-29.0 2328 0 -lighting source for yourhousehold?

16 d08_2012 D08.2012 What is the main discrete numeric-29.0 407 1921 -source of cooking fuel foryour household?

17 d08 D08. What is the main source of cooking fuel for your household?


18 d10_2012 D10.2012 What is the main destination of household waste for this household?


19 d10 D10. What is the main destination of household waste for this household?


20 d11_2012 D11.2012 Number of discrete numeric-8.0 2328 0 -wardrobes or cabinets ownedby the household

21 d11 D11. Number of wardrobes discrete numeric-8.0 2328 0 -or cabinets owned by thehousehold

22 d12_2012 D12.2012 Number of cows, buffaloes, cattle owned by the household?


23 d12 D12. Number of cows, buffaloes, cattle owned by the household?



-

34 d18_2012

35 d18

File harvest_module_e1_2016# Name Label Type Format Valid Invalid Question


2 e1_01 e1_01 items discrete numeric-28.0 174600 0 -

3 e1_02 e1_02 Over the past one discrete numeric-9.0 151320 23280 -week (7 days), did you orothers in your householdconsu

4 e1_03 e1_03 Purchased in cash (riels)


5 e1_04 e1_04 Owned product ( riels) continuous numeric-10.2 50826 123774 -

6 e1_05 e1_05 Gifts, Free collections, continuous numeric-10.2 50826 123774 -(Imputed value) (riels)

7 e1_06 E1.06 Did you or someone in your household consume this item yesterday?


8 e1_07 E1.07 How many days in the past 7 days did your HH



24 d13_2012 D13.2012 Number of horses owned by the household?


25 d13 D13. Number of horses owned by the household?


26 d14_2012

d14

D14.2012 Number of mules, donkeys owned by the household?

discrete numeric-8.0 2328

2328

0

0

-

-27 D14. Number of mules, donkeys owned by the household?

discrete numeric-8.0

28 d15_2012 D15.2012 Number of goats and sheep owned by the household?


29 d15 D15. Number of goats and sheep owned by the household?


30 d16_2012

31 d16

D16.2012 Number of pigs owned by the household?

D16. Number of pigs owned by the household?

continuous

continuous

numeric-8.0 2328

numeric-8.0 2328

0

0

-

-

32 d17_2012

33 d17

D17.2012 Number of ducks, geese owned by the household?

D17. Number of ducks, geese owned by the household?

continuous

continuous

numeric-8.0 2328

numeric-8.0 2328

0

0

-

-

D18.2012 Number of chickens owned by the household?

D18. Number of chickens owned by the household?

continuous

continuous

numeric-8.0 2328

numeric-8.0 2328

0

0

-

-


-


consume foods from thisfood

3 e2_02

4 e2_03

3 e3_02

4 e3_03




3 e4_02 e4_02 Over the past three discrete numeric-9.0 27936 2328 -months, did your householduse or buy any [...]?

4 e4_03 e4_03 How much did you pay (how much did they cost) in total? (0000 Riels)


File#

harvest_module_e5_2016Name Label Type Format Valid Invalid Question



3 e5_02 e5_02 Over the past one year (twelve months), did your household use or buy any


File#

harvest_module_e2_2016Name Label Type Format Valid Invalid Question



e2_02 Over the past one discrete numeric-9.0 16296 2328 -week (7 days), did yourhousehold use or buy any[...]?

e2_03 How much did you continuous numeric-10.2 8750 9874 -pay (how much did they cost)in total? (0000 Riels)




e3_02 Did you purchase [….] discrete numeric-9.0 34920 2328 -over the past one month?

e3_03 How much did you continuous numeric-10.2 22858 14390 -pay (how much did they cost)in total? (0000 Riels)


-


4 e5_03 e5_03 How much did you pay (how much did they cost) in total? (0000 Riels)




2 e6_00 E6.00 House Code discrete numeric-8.0 4685 0 -

3 e6_01

e6_02

e6_01 Do you own or are purchasing this house, is it provided to you by an emplo


4616

2328

69

-

-4 e6_02 If you sold this dwelling today, how much would you receive for it? (no la


5 e6_03

6 e6_04a

e6_03 How many years ago was this house built? (Years)

e6_04a If you rented this dwelling today, how much rent would you receive? (‘000

discrete

continuou

s

numeric-10.2 2303

numeric-10.2 4683

2382

2

-

-

7 e6_04b e6_04b If you rented this dwelling today, how much rent would you receive? (Unit


8 e6_05a e6_05a How much do you pay to rent this dwelling? (0000 riel)


9 e6_05b e6_05b How much do you pay to rent this dwelling? (unit)





3 e7_03 e7_03 Total number continuous numeric-10.2 79152 0 -

4 e7_04 e7_04 What was the purchase value (or the imputed value) of all these. [ITEM]]s?


5 e7_05 e7_05 According to current prices, what do you think you could get if you sold.[





-


2 e801 e8_01 items discrete numeric-58.0 37248 0 -

3 e802 e8_02 Did anyone in the household receive cash or in- kind income from any of the


4 e803

e804

e8_03 If yes, how many household members received income from sources?

continuous numeric-10.2 12283

7134

24965

30114

-

-5 e8_04 What is the estimated total income from the past 12 months? ('0000 Riel)

continuous numeric-10.2

6 e805 E8.05 In your opinion has your income from this source increased, decreased or r


File harvest_module_f_2016# Name Label Type Format Valid Invalid Question


2 f01 f01 In the past [4 weeks/30 days] was there ever no food to eat of any kind in y


3 f02 f02 How often did this happen in the past [4 weeks/30 days]?


4 f03

f04

f03 In the past [4 weeks/30 days] did you or any household member go to sleep at


5

0

2323

-

-5 f04 How often did this happen in the past [4 weeks/30 days]?


6 f05 f05 In the past [4 weeks/30 days] did you or any household member go a whole da


7 f06 f06 How often did this happen in the past [4 weeks/30 days]?


File#

harvest_module_h_2016Name Label Type Format Valid Invalid Question

1

2

a01

h0

a01 household id

h0 Items

continuous

discrete

numeric-12.0

numeric-9.0

2727

2727

0

0

-

-

3 h_1 h_1 WOMAN’S ID CODE FROM THE HOUSEHOLDROSTER (Module C)



-

4 h_2 h_2 Please tell me how old you are. What was your age

at your last birthday? (Converted post-submission to discrete with 5 year categories to protect the privacy of respondents)



-

File harvest_module_h_2016# Name Label Type Format Valid Invalid Question

5 h_3 h_3 Is the respondent age between the ages of 15 and 49 years old?


6 h_4 h_4 IS THE RESPONDENT BETWEEN THE AGES OF 15 AND 49 YEARS?


7 h_4a H4A. Tell me about [Respondent?s] natural mother. How many children


8 h_4b

h_4c

H4B.What was [Respondent? s] birth order? For example, is she first born?


2527

200

200

-

-9 H4C. How many years of formal schooling respondent? s natural mother have?


10 h_4d H4D. Respondent?s marital status?


11 h_4e H4E. Number of children you have given birth?


12 h_4f H4F.How young is your youngest child?


13 h_4g

14 h_5

H4G. How old is your oldest child?

h_5 Are you currently pregnant?

continuous

discrete

numeric-8.0 1621

numeric-12.2 2527

1106

200

-

-

15 h_6 h_6 Weight in kilograms continuous numeric-12.2 2421 306 -

16 h_7

17 h_8

h_7 Height in centimeters

h_8 Food made from grains, such as bread, rice, noodles, porridge

continuou

s

discrete

numeric-10.0 2421

numeric-10.0 2527

306

200

-

-

18 h_9

19 h_10

h_9 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside

h_10 White potatoes, white yams, manioc, cassava, or any other foods made from

discrete

discrete

numeric-10.0 2527

numeric-10.0 2527

200

200

-

-

20 h_11 h_11 Any dark green leafy vegetables


21 h_12 h_12 Ripe mangoes, ripe papayas


22 h_13 h_13 Any other fruits or vegetables


23 h_14 h_14 Liver, kidney, heart, or other organ meats


24 h_15 h_15 Any meat, such as beef, pork, lamb, goat, chicken, or duck


25 h_16 h_16 Eggs discrete numeric-10.0 2527 200 -

26 h_17 h_17 Fresh or dried fish, shellfish, or seafood



-

44 h_33

45 h_34


27 h_18 h_18 Any foods made from beans, peas, lentils, nuts, or seeds


28 h_19 h_19 Cheese, yogurt, or other discrete numeric-10.0 2527 200 -milk products

29 h_20 h_20 Any oil, fats, or butter, discrete numeric-10.0 2527 200 -or foods made with any ofthese

30 h_21 h_21 Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or b


31 h_22 h_22 Condiments for flavor, such as chilies, spices, herbs, or fish powder


32 h_23 h_23 Grubs, snails, or insects discrete numeric-10.0 2527 200 -

33 h_24 h_24 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce


34 h_25 H25. Have you heard about the Cambodia HARVEST project?


35 h_26 H26.Have you attended any nutritional training programs or nutrition


36 h_27 H27.Have you participated in any mobile kitchen, cooking demonstration


37 h_28 H28.Are you currently or were you in the last 4 years a member of an


38 h_28a H28A. If not currently a discrete numeric-37.0 2460 267 -member or never a member,ask the reason why

39 h_29 H29. Are you currently or discrete numeric-51.0 2527 200 -were you in the last 4 years amember of an

40 h_29a H29A. If not currently a member or never a member, ask the reason why


41 h_30 H30. Have you participated in any training on home gardening, school


42 h_31 H31. Have you received Moringa seedlings from anyone in the last 4 yeears


43 h_32 H32. Do you use mobile phone to access information related to farming


H33. Do you use mobile discrete numeric-8.0 2527 200 -phone to access informationrelated to health

H34. What is the farthest you discrete numeric-41.0 2527 200 -have ever travelled?


-


46 h_35 H35. Do you have a bank account either jointly or individually in you


47 h_36 H36. In the past 7 days, how many times did you eat cooked food outside


48 h_37 H37. Are you the main female decision maker in this household?


49 h_38a

h_38b

H38A. Getting inputs for agricultural production (your own personal a


1474

1253

1253

-

-50 H38B. Types of crops to grow for agriculturalproduction (your own pe


51 h_38c H38C. Making decisions on selling agricultural produce (or not) (your


52 h_38d H38D. Decision on how to use your own wage or salary employment income


53 h_38e H38E. Major household expenditures (such as large appliance for house


54 h_38f H38F. Minor household expenditures (such as food for daily consumption


55 h_39 H39. How satisfied are you with your available time for leisure activity


56 h_40

57 h_41

H40. Are you the main or one of the principal food preparer in this house

H41. Are you the child caretaker in this

discrete

discrete

numeric-23.0 2527

numeric-25.0 2527

200

200

-

-

58 h_42_1

59 h_42_2

H42. After defecation_When do you wash your hands?

H42.2 After cleaning babies? bottom_When do you wash your hands?

discret

e

discret

character-1 1686

character-1 461

0

0

-

-

60 h_42_3

61 h_42_4

H42.3 Before food preparation_When do you wash your hands?

H42.4 Before eating_When do you wash your hands?

discrete

discrete

character-1 1801

character-1 2190

0

0

-

-

62 h_42_5 H42.5 Before feeding a child_When do you wash your hands?


63 h_43_1 H43.1 Uses water_Would you explain and show me what you do when you



-

80 h_46_5

81 h_47


64 h_43_2 H43.2 Uses soap or ash_Would you explain and show me what you do whe


65 h_43_3 H43.3 Washes both hands_Would you explain and show me what you do wh


66 h_43_4 H43.4 Rubs hands together at least three times_Would you explain and


67 h_43_5

h_44_1

H43.5 Dries hands hygienically-by air drying or using a clean cloth_

discrete character-1 770

2413

0

314

-

-68 H44.1 Fish_Scale of 0 to 10, where 0= Without any nutritional value


69 h_44_2 H44.2 Coca cola or similar type soda_Scale of 0 to 10,where 0= With


70 h_44_3 H44.3 Vegetables (any kind)_Scale of 0 to 10, where 0= Without any n


71 h_44_4 H44.4 Fresh fruits (any kind)_Scale of 0 to 10, where0= Without any


72 h_44_5 H44.5 Rice_Scale of 0 to 10, where 0= Without any nutritional value


73 h_44_6 H44.6 Milk_Scale of 0 to 10, where 0= Without any nutritional value


74 h_44_7

75 h_45

H44.7 Moringa leaves_Scale of 0 to 10, where 0= Without any nutrition

H45. Do you own or manage a home garden plot?

continuous

discrete

numeric-8.0 2414

numeric-8.0 2414

313

313

-

-

76 h_46

77 h_46_2

H46. Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)

H46.2 Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)

discrete

discrete

numeric-8.0 1692

numeric-8.0 476

1035

2251

-

-

78 h_46_3 H46.3 Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)


79 h_46_4 H46.4 Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)


H46.5 Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)

H47. Have you ever made borbor for your child?

discrete

discrete

numeric-8.0 1

numeric-8.0 1613

2726

1114

-

-


-


82 h_47_2 H47.2 Have you ever made borbor for your child?








86 h_48 H48. If no, why not? discrete numeric-71.0 1027 1700 -

87 h_48_2 H48.2 If no, why not? discrete numeric-71.0 327 2400 -




91 h_49 H49. Do you know about the three food groups?


92 h_50_1 H50.1. Foods for energy_Can discrete character-1 746 0 -you name the three types offood groups?

93 h_50_2 H50.2 Foods for body discrete character-1 735 0 -growth_Can you name thethree types of food groups

94 h_50_3 H50.3 Foods for immune system_Can you name the three types of food groups


95 h_51 H51. Foods for energy: cereals, tuber, root, potatoes, taro, rice, n


96 h_52 H52. How many meals should adults eat per day?


97 h_53_11 H53.11 Have you seen this before today?


98 h_53_12 H53.12 Have you seen this discrete character-2 1889 0 -before today?

99 h_53_13 H53.13 Have you seen this discrete character-2 1526 0 -before today?





File harvest_module_i_2016# Name Label Type Format Valid Invalid Question


2 i0 i0 Items discrete numeric-9.0 1075 0 -

3 i_1 i_1 CAREGIVER’S ID CODE FROM THEHOUSEHOLD ROSTER



-


4 i_2 i_2 CHILD’S ID CODE FROM THE HOUSEHOLD ROSTER


5 i_3 i_3 What is [child’s name]’s discrete numeric-10.0 1075 0 -sex?

6 i_4 i_4 How old was [child’s discrete numeric-10.0 1075 0 -name] at [his/her] lastbirthday?

7 i_5 i_5 How many months old is continuous numeric-10.0 1075 0 -[child’s name]?

8 i_6 i_6 CHECK I05. IS THE discrete numeric-10.0 1075 0 -CHILD UNDER 60MONTHS?

9 i_7 i_7 DOES CHILD HAVE discrete numeric-10.0 1068 7 -EDEMA?

10 i_8 i_8 Weight in kilograms: continuous numeric-10.0 1068 7 -

11 i_9 i_9 Height in centimeters continuous numeric-10.0 1068 7 -

12 i_10 i_10 CHECK QUESTION discrete numeric-10.0 1068 7 -I05. IS THE CHILD UNDER24 MONTHS OF AGE?

13 i_11 i_11 Has [child’s name] ever discrete numeric-10.0 1068 7 -been breastfed?

14 i_12 i_12 Was [child’s name] discrete numeric-10.0 438 637 -breastfed yesterday duringthe day or at night?

15 i_13 i_13 Did [Child’s name] discrete numeric-10.0 116 959 -consume breast milk in anyof these ways yesterday durin

16 i_14 i_14 Was [child’s name] discrete numeric-10.0 438 637 -given any vitamin drops orother medicines as drops yest

17 i_15 i_15 Was [child’s name] given [local name for oral rehydration solution] yesterd


18 i_17 i_17 Plain water? discrete numeric-10.0 438 637 -

19 i_18 i_18 Infant formula such as discrete numeric-10.0 438 637 -[France Bébé, Similac andDumex]?

20 i_19 i_19 How many times discrete numeric-10.0 57 1018 -yesterday during the day or atnight did [child’s name] cons

21 i_20 i_20 Did [child’s name] have any milk such as tinned, powdered, or fresh animal


22 i_21 i_21 How many times yesterday during the day or at night did [child’s name] cons


23 i_22 i_22 Did [child’s name] have any juice or juice drinks?


24 i_23 i_23 Clear broth? discrete numeric-10.0 438 637 -

25 i_24 i_24 Yogurt? discrete numeric-10.0 438 637 -


-


26 i_25 i_25 How many times yesterday during the day or at night did [child’s name] cons


27 i_26

28 i_27

i_26 Did [child’s name] have any thin porridge

i_27 Any other liquids such as [Porridge that cooked from rice mix with vegetabl

discret

e

discret

numeric-10.0 438

numeric-10.0 438

637

637

-

-

29 i_28 i_28 Any other liquids? discrete numeric-10.0 438 637 -

30 i_29

i_30

i_29 Food made from grains, such as bread, rice, noodles, porridge


438

637

637

-

-31 i_30 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange insid


32 i_31 i_31 White potatoes, white yams, manioc, cassava, or any other foods made from r


33 i_32 i_32 Any dark green leafy vegetables


34 i_33

35 i_34

i_33 Ripe mangoes, ripe papayas

i_34 Any other fruits or vegetables

discrete

discrete

numeric-10.0 438

numeric-10.0 438

637

637

-

-

36 i_35 i_35 Liver, kidney, heart, or other organ meats


37 i_36 i_36 Any meat, such as beef, pork, lamb, goat, chicken, or duck


38 i_37 i_37 Eggs discrete numeric-10.0 438 637 -

39 i_38

40 i_39

i_38 Fresh or dried fish, shellfish, or seafood

i_39 Any foods made from beans, peas, lentils, nuts, or seeds

discret

e

discret

numeric-10.0 438

numeric-10.0 438

637

637

-

-

41 i_40 i_40 Cheese, yogurt, or other milk products


42 i_41 i_41 Any oil, fats, or butter, or foods made with any of these


43 i_42

44 i_43

i_42 Any sugary foods such as chocolates, sweets,candies, pastries, cakes, or b

i_43 Condiments for flavor, such as chilies, spices, herbs, or fish powder

discrete

discrete

numeric-10.0 438

numeric-10.0 438

637

637

-

-

45 i_44 i_44 Grubs, snails or insects discrete numeric-10.0 438 637 -

46 i_45 i_45 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce



-

64 i_11d

65 i_11e


47 i_46 i_46 IF ‘YES’ PROBE: Whatkind of solid, semi-solid, or soft foods did [child’s


48 i_47 i_47 How many times did [child’s name] eat solid, semi-solid, or soft foods othe


49 i_2b I02B.Is the caregiver noted above child?s mother?I02B_5


50 i_2c

i_3ad

I02C.If no, list mother?s ID code from the Roster (Module C)


1043

904

32

-

-51 I03AD.Day of child name birthdate


52 i_3am I03AM.Month of child name birthdate


53 i_3ay

54 i_6a

I03AY.Year of child name birthdate

I06A.Tell me about [Child? s] natural mother. How many children does

discret

e

discret

numeric-10.0 1075

numeric-8.0 1068

0

7

-

-

55 i_6b I06B.What was [Child?s] birth order? For example, is she/he first born


56 i_6c I06C.How many years of formal schooling child?s natural mother has cI06C


57 i_7a I07A.Has [child] had any diarhhea in the last 2 weeks? I07A


58 i_7b

59 i_7c

I07B.Has [child] had any other illness in the last 2 weeks (E.g. fevI07B)

I07C.How would you rate the general health and physical growth of thI07C

discrete

discrete

numeric-8.0 1068

numeric-60.0 1068

7

7

-

-

60 i_7d I07D.Is the child up to date on all the vaccinations he/she should rI07D


61 i_11a I11A.Are you currently breastfeeding this child?I11A


-62 i_11b I11B.Months_How old was [child] when you stopped breastfeeding?

continuous numeric-8.0 711 364

63 i_11c I11C.Months_At what age did you first start giving [child] any semi-


I11D.Months_At what age did you start giving snacks between meals to

I11E.Time_Typically, how many times a day do you give snack food to

continuous

discrete

numeric-8.0 950

numeric-8.0 901

125

174

-

-


-


66 i_11f I11F.Months_At what age did you start giving commercial snacks (purchase)


67 i_11g

i_11h

I11G.Time_Typically, how many times a day do you give purchased snacks


950

209

125

-

-68 I11H.Months_At what age did you start giving commercially produced d


69 i_11i I11I.Time_Typically, how many times a day do you give such purchased


70 i_28a I28A.Any Bor Bor Kab Krop Kroeung (enriched porridge)? I28A


71 i_28b I28B.How many times yesterday during the day or at night did [child]?


72 i_28c I28C.Please writing down food


File harvest_module_j1_2016# Name Label Type Format Valid Invalid Question


2 j100a J100A How many plots does your household own and/or operate?


3 j101 J101 Plot number continuous numeric-8.0 9125 0 -

4 j103 J103 What type of plot is discrete numeric-12.0 9125 0 -this?

5 j103a J103A Who is the main discrete numeric-8.0 9125 0 -decision maker on the use ofthis plot? [Use the memberID

6 j104 J104 What is the tenancy discrete numeric-24.0 9125 0 -status of this plot?

7 j104a J104A How was this parcel discrete numeric-43.0 9125 0 -acquired?

8 j105 J105 If rented, how much continuous numeric-10.0 9125 0 -did you pay for this plot lastseason? (0000 Riels)

9 j106 J106 Size of plot area as continuous numeric-10.0 9125 0 -reported

10 j107 J107 Unit of plot size discrete numeric-12.0 9125 0 -

11 j108 J108 Was this field cultivated discrete numeric-8.0 9125 0 -in the last WET SEASON?

12 j109a J109A 1st Crops cultivated in the last WET SEASON



-


13 j109b J109B 2nd Crops cultivated in the last WET SEASON


14 j109c J109C 3rd Crops cultivated in the last WET SEASON


15 j110 J110 Was this field cultivated in the last DRY SEASON?


16 j111a J111A 1st Crops cultivated in the last DRY SEASON.


17 j111b J111B 2nd Crops cultivated discrete numeric-43.0 374 8751 -in the last DRY SEASON.

18 j111c J111C 3rd Crops cultivated discrete numeric-43.0 1 9124 -in the last DRY SEASON.

19 nparcels # of parcels per household continuous numeric-9.0 9125 0 -

20 area_ha plot area in hectares continuous numeric-9.0 9125 0 -

21 wplots # of wet season rice plots per household


22 dplots # of dry season rice plots per household


File harvest_module_j2a_2016# Name Label Type Format Valid Invalid Question

1 a01 household id continuous numeric-12.0 8121 0 -

2 j2a01 j2a01_ plot # continuous numeric-8.0 8121 0 -

3 j2a02 j2a02_ cultivated area (ha) continuous numeric-9.0 8121 0 -

4 j2a03 j2a03_ harvested area (ha) continuous numeric-9.0 8121 0 -

5 j2a04 j2a04_ did you use improved discrete numeric-8.0 6096 2025 -rice seed variety?

6 j2a05 j2a05_ is this wet rice discrete numeric-8.0 6096 2025 -broadcast or transplanted?

7 j2a06 j2a06_ what is the source discrete numeric-8.0 6096 2025 -of the seed used in the wetseason?

8 j2a07 j2a07_ if purchased, in total continuous numeric-9.0 8121 0 -how much did you pay for it?(0000 riels)

9 j2a08 j2a08_ what quantity of seed did you plant? (kg)


10 j2a09 j2a09_ did you use fertilizer on this plot?


11 j2a10 j2a10_ what type of fertilizer did you use?


12 j2a11 j2a11_ how much did you use? (kg)


13 j2a12 j2a12_ what is the source? discrete numeric-8.0 2749 5372 -

14 j2a13 j2a13_ if purchased, how much did you pay? (0000 riels)



-


15 j2a14 j2a14_ how much did you use? (kg)


16 j2a15 j2a15_ what is the source? discrete numeric-8.0 4265 3856 -

17 j2a16 j2a16_ if purchased, how much did you pay? (0000 riels)


18 j2a17 j2a17_ did you use pesticides on this plot?


19 j2a18 j2a18_ amount of pesticides continuous numeric-9.0 5139 2982 -

20 j2a19 j2a19_ type of unit of pesticides


21 j2a20

22 j2a21

j2a20_ what is the source?

j2a21_ if purchased, how much did you pay in total? (0000 riels)

discrete

continuou

s

numeric-8.0 3114

numeric-9.0 5139

5007

2982

-

-

23 j2a22

24 j2a23

j2a22_ did you hire any labour to work on this plot?

j2a23_ land preparation; canal cleaning/repair_# of workers

discrete

continuou

s

numeric-8.0 6096

numeric-8.0 3884

2025

4237

-

-

25 j2a24

26 j2a25

j2a24_ land preparation; canal cleaning/repair_amount paid (0000 riels)

j2a25_ planting_# of workers

continuous

continuous

numeric-9.0 2108

numeric-8.0 3884

6013

4237

-

-

27 j2a26 j2a26_ planting_amount paid (0000 riels)


28 j2a27

29 j2a28

j2a27_ weeding_# of workers

j2a28_ weeding_amount paid (0000 riels)

continuou

s

continuou

numeric-8.0 3884

numeric-9.0 2214

4237

5907

-

-

30 j2a29 j2a29_ harvesting_# of workers


31 j2a30

32 j2a31

j2a30_ harvesting_amount paid (0000 riels)

j2a31_ did you use any other inputs (oil, diesel, water, etc) or rented

continuou

s

discrete

numeric-9.0 3453

numeric-8.0 6096

4668

2025

-

-

33 j2a32 j2a32_ if used other inputs, how much money did you spend in total in th


34 j2a33 j2a33_ how much wet season paddy rice did you harvest? (k)g


File harvest_module_j2b_2016# Name Label Type Format Valid Invalid Question

1 a01 household id continuous numeric-12.0 799 0 -

2 j2b01 j2b01_ plot # continuous numeric-8.0 799 0 -

3 j2b02 j2b02_ cultivated area (ha) continuous numeric-9.0 799 0 -


-


4 j2b03 j2b03_ harvested area (ha) continuous numeric-9.0 799 0 -

5 j2b04 j2b04_ did you use improved rice seed variety?


6 j2b05 j2b05_ is this wet rice discrete numeric-8.0 506 293 -broadcast or transplanted?

7 j2b06 j2b06_ what is the source discrete numeric-8.0 506 293 -of the seed used in the wetseason?

8 j2b07 j2b07_ if purchased, in total how much did you pay for it? (0000 riels)


9 j2b08 j2b08_ what quantity of seed did you plant? (kg)


10 j2b09 j2b09_ did you use fertilizer on this plot?


11 j2b10 j2b10_ what type of fertilizer discrete numeric-8.0 463 336 -did you use?

12 j2b11 j2b11_ how much did you continuous numeric-8.0 432 367 -use? (kg)

13 j2b12 j2b12_ what is the source? discrete numeric-8.0 139 660 -

14 j2b13 j2b13_ if purchased, how continuous numeric-9.0 432 367 -much did you pay? (0000riels)

15 j2b14 j2b14_ how much did you continuous numeric-8.0 736 63 -use? (kg)


17 j2b16 j2b16_ if purchased, how much did you pay? (0000 riels)


18 j2b17 j2b17_ did you use pesticides on this plot?


19 j2b18 j2b18_ amount of pesticides continuous numeric-9.0 756 43 -

20 j2b19 j2b19_ type of unit of discrete numeric-8.0 463 336 -pesticides


22 j2b21 j2b21_ if purchased, how continuous numeric-9.0 756 43 -much did you pay in total?(0000 riels)

23 j2b22 j2b22_ did you hire any discrete numeric-8.0 506 293 -labour to work on this plot?

24 j2b23 j2b23_ land preparation; discrete numeric-8.0 350 449 -canal cleaning/repair_# ofworkers

25 j2b24 j2b24_ land preparation; continuous numeric-8.0 295 504 -canal cleaning/repair_amountpaid (0000 riels)

26 j2b25 j2b25_ planting_# of workers discrete numeric-8.0 350 449 -

27 j2b26 j2b26_ planting_amount paid (0000 riels)



-


28 j2b27 j2b27_ weeding_# of workers


29 j2b28 j2b28_ weeding_amount paid (0000 riels)


30 j2b29 j2b29_ harvesting_# of workers


31 j2b30 j2b30_ harvesting_amount paid (0000 riels)


32 j2b31 j2b31_ did you use any other inputs (oil, diesel, water, etc) or rented


33 j2b32 j2b32_ if used other inputs, how much money did you spend in total in th


34 j2b33 j2b33_ how much wet season paddy rice did you harvest? (k)g


File harvest_module_j2c_2016# Name Label Type Format Valid Invalid Question


2 j2c01 j2c01 items discrete numeric-21.0 9304 0 -

3 j2c02 j2c02 Did you sell [RICE TYPE] in the past 12 months?


4 j2c03a j2c03a How much [RICE TYPE] did you sell?_ Amount


5 j2c03b_1 j2c03b How much [RICE TYPE] did you sell?_Month of selling rice




7 j2c03b_3 j2c03b How much [RICE discrete numeric-9.0 44 9260 -TYPE] did you sell?_Monthof selling rice

8 j2c03b_4 j2c03b How much [RICE discrete numeric-9.0 14 9290 -TYPE] did you sell?_Monthof selling rice



10 j2c03c j2c03c How much [RICE TYPE] did you sell?_Unit price


11 j2c04 j2c04 How much did you get in total from sales of [RICE TYPE]? ('0000 Riels)



-



2 j3a01

3 j3a02

j3a01 items

j3a02 Did you grow [VEGETABLE TYPE] in thelast 12 months?

discret

e

discret

e

numeric-35.0 60502

numeric-34.0 58175

0

2327

-

-

4 j3a03 j3a03 Was this [VEGETABLE TYPE]grown in a home garden?


5 j3a04a

6 j3a04b

j3a04a What was the total area planted with [VEGETABLE TYPE]?_Area(as reported)

j3a04b What was the total area planted with [VEGETABLE TYPE]?

continuous

discrete

numeric-10.2 8106

numeric-14.0 5779

52396

54723

-

-

7 j3a05 j3a05 Quantity Produced of [VEGETABLE TYPE]?_Quantity(Kg)


8 j3a06 j3a06 Quantity Produced of [VEGETABLE TYPE]?_Type of unit (Riel/Kg)


9 j3a07 j3a07 Did you sell [VEGETABLE TYPE] in thelast 12 months?


10 j3a08 j3a08 How much did you get in total from sales of [VEGETABLE TYPE]?(0000 Riels)


11 area_veg vegetable plot area (ha) continuous numeric-9.0 5779 54723 -



2 j3b01 j3b01 items discrete numeric-23.0 20969 0 -

3 j3b02 j3b02 Did you use [INPUT discrete numeric-34.0 19356 1613 -TYPE] in vegetableproduction in the last 12months?

4 j3b03 j3b03 Did you purchase or pay for this [Input Type]?


5 j3b04 j3b04 How much did you pay for the total quantity purchased? ('0000 Riels)




2 j401 j401 code discrete numeric-45.2 4775 0 -


-

6 j404

7 j405

6 ponds_m2

7 ponds_ha

5 k203

6 k204

File harvest_module_k3_2016# Name Label Type Format Valid Invalid Question


3 j402 j402 did you grow [crop] the last 12 months?


4 j403a j403a how much did you produce of [crop]?_quantity (kg)


5 j403b j403b how much did you produce of [crop]?_unit (riel/ kg)


j404 did you sell [crop] this discrete numeric-10.2 3351 1424 -past season?

j405 how much did you get continuous numeric-10.2 2968 1807 -in total from sales of [crop]?(0000 riels)

File harvest_module_k1ab_2016# Name Label Type Format Valid Invalid Question


2 k1a k1a Does this household raise fish?


3 k1b k1b Have you had any discrete numeric-10.0 80 2248 -harvest?

4 k1a1 K1A1 If yes, how many fish discrete numeric-8.0 80 2248 -ponds does this householdown?

5 nponds # of ponds discrete numeric-9.0 2328 0 -

pond size in m2 continuous numeric-9.0 2328 0 -

pond size in hectares continuous numeric-9.0 2328 0 -



2 k201 K201 Fish species and Codes discrete numeric-17.0 136 0 -

3 k202a K202A Quantity in Kg_How much did you produce of [FISH SPECIES]?


4 k202b K202B Unit(Riel/Kg)_How much did you produce of [FISH SPECIES]?


K203 Did you sell any [FISH discrete numeric-8.0 78 58 -SPECIES] during the lastproduction cycle?

K204 How much did you get continuous numeric-10.2 124 12 -in total from sales of [FISHSPECIES]? ('0000 Riels)


-

4 k303

5 k304

File#

harvest_module_l1_2016Name Label Type Format Valid Invalid Question


2 l101 l101 items discrete numeric-56.0 41904 0 -

3 l102 l102 Did you receive any extension assistance or advisory service related to [TY


4 l103_1 l103 What was the media? Check the most important one.




6 l103_3

7 l104_1

l103 What was the media? Check the most important one.

l104 Who provided the extension service/advice?

discrete

discrete

numeric-10.0 5

numeric-36.0 7243

41899

34661

-

-

8 l104_2

9 l105

l104 Who provided the extension service/advice?

l105 Did you pay for the service?

discrete

discrete

numeric-36.0 84

numeric-9.0 7243

41820

34661

-

-

10 l106 l106 If so, how much did you pay? (0000 Riels)


-11 l107 l107 After receiving the advice, did you follow it or adopted the practices?

discrete numeric-9.0 7938 33966

File harvest_module_l2_2016# Name Label Type Format Valid Invalid Question







2 k301 k301 Input Type and Code discrete numeric-53.0 522 0 -

3 k302 k302 Did you use [INPUT discrete numeric-9.0 464 58 -TYPE] in fish productionduring the last productioncycl

k303 What is the source? discrete numeric-47.0 154 368 -

k304 If purchased, how much continuous numeric-10.0 212 310 -did you pay in the total?


-








7 l204_1 l204 Who provided the extension service/advice?




9 l205 l205 Did you pay for the discrete numeric-9.0 3767 31153 -service?

10 l206 l206 If so, how much did you discrete numeric-10.0 2328 32592 -pay? (0000 Riels)

11 l207 l207 After receiving the advice, did you follow it or adopted the practices?







4 l303_1 l303 What was the media? discrete numeric-10.0 239 27697 -Check the most importantone.

5 l303_2 l303 What was the media? discrete numeric-10.0 6 27930 -Check the most importantone.





8 l305 l305 Did you pay for the service?


9 l306 l306 If so, how much did you pay? (0000 Riels)


10 l307 l307 After receiving the advice, did you follow it or adopted the practices?


File harvest_module_x1_2016# Name Label Type Format Valid Invalid Question


-


1 a01 A01 Household id discrete character-10 2328 0 -

2 x1_01

3 x1_02

X1.01 Cambodia Harvest_You heard about this organizations / programs / concepts

X1.02 USAID_You heard about this organizations /

discrete

discrete

numeric-8.0 2328

numeric-8.0 2328

0

0

-

-

4 x1_03 X1.03 Fintrac_You heard about this organizations / programs / concepts


5 x1_04

6 x1_05

X1.04 Climate change_You heard about this organizations / programs / concepts

X1.05 Integrated Pest Management_You heard about this organizations / programs /

discrete

discrete

numeric-8.0 2328

numeric-8.0 2328

0

0

-

-

7 x1_06

x1_07

X1.06 Forest conservation_You heard about this organizations/ programs/concepts


2328

0

0

-

-8 X1.07 Internet_You heard about this organizations/ programs/concepts


9 x1_08 X1.08 Facebook_You heard about this organizations/ programs/concepts


10 x1_09

x1_10

X1.09 Bor Bor Kab Krop Koeung_You heard about this organizations/programs/ concep


2328

0

0

-

-11 X1.10 Three food groups_You heard about this organizations/programs/ concepts


12 x1_11 X1.11 Did you or anyone in the household access credit in the past 12 months


13 x1_12_1 X1.12.1 1st If yes, for what purpose


14 x1_12_2 X1.12.2 2nd If yes, for what purpose


15 x1_12_3 X1.12.3 3rd If yes, for what purpose


-16 x1_13_1 X1.13.1 1st If yes, from where borrowing?

discrete numeric-26.0 1467 861

17 x1_13_2 X1.13.2 2nd If yes, from where borrowing?


18 x1_13_3 X1.13.3 3rd If yes, from where borrowing?


19 x1_14_1 X1.14.1 1st If no, why not? discrete numeric-28.0 861 1467 -


-


20 x1_14_2 X1.14.2 2nd If no, why not? discrete numeric-28.0 82 2246 -

21 x1_14_3 X1.14.3 3rd If no, why not? discrete numeric-28.0 9 2319 -

22 x1_15 X1.15 Does anyone in this discrete numeric-8.0 2328 0 -household have a Facebookpage?

23 x1_16 X1.16 What is the distance from your house to the nearest paved road in Km


24 x1_17 X1.17 What is the distance continuous numeric-9.0 2328 0 -from your house to thenearest market where youobta

25 x1_18 X1.18 When it comes to discrete numeric-152.0 2328 0 -adopting new technology,inputs or farming practices,whi

26 x1_19 X1.19 Do you use mobile phone to access information related to farming?


27 x1_20_1 X1.20.1 Poster 1_Have you seen this before?


28 x1_21_1 X1.21.1 Poster 1_If Yes, discrete numeric-43.0 744 1584 -where or in what context?

29 x1_20_2 X1.20.2 Poster 2_Have you discrete numeric-8.0 2328 0 -seen this before?



32 x1_21_3 X1.21.3 Poster 3_If Yes, where or in what context?




















-










47 x1_16_0 X1.16 What is the distance from your house to the nearest paved road in Km


48 x1_17_0 X1.17 What is the distance from your house to the nearest market where you obta


9 x2_05b

10 x2_06


1 a01 A01 Household id discrete character-10 25608 0 -

2 x2_01 X2.01 Activities in the last 4 discrete numeric-44.0 25608 0 -years

3 x2_02 X2.02 Host_Did anyone discrete numeric-10.0 11640 13968 -in your household in[ACTIVITY] in the last 4years

4 x2_03 X2.03 Visit/participate_Did anyone in your household in [ACTIVITY] in the last 4


5 x2_04_1 X2.04.1 1st Who was the main organizer of this activity?


6 x2_04_2 X2.04.2 2nd Who was the main organizer of this activity?


7 x2_04_3 X2.04.3 3rd Who was discrete numeric-13.0 7 25601 -the main organizer of thisactivity?

8 x2_05a X2.05A Males_How many discrete numeric-8.0 7406 18202 -males from your HH who aremore than 15 years of ageparti

X2.05B Females_How many discrete numeric-8.0 7406 18202 -females from your HH whoare more than 15 years of agep

X2.06 When was the last discrete character-4 7406 0 -year you or member of yourHH participated? (for current

USAID Cambodia-HARVEST Program- ENDLINE SURVEY DATA - Variables Description

-

Variables DescriptionDataset contains 548 variable(s)

File : harvest_module_ab_2016

-

# a01: A01 Household id

Information [Type= continuous] [Format=numeric] [Range= 202020802-1711090735] [Missing=*]

Statistics [NW/ W] [Valid=2328 /-] [Invalid=0 /-] [Mean=1004817199.468 /-] [StdDev=621472497.407 /-]

# panel: 1=panel HHs

Information [Type= discrete] [Format=numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2328 /-] [Invalid=0 /-]

Value Label Cases Percentage

0 No 407 17.5%

1 Yes 1921 82.5%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# attrition: 1=HH attrited (not re-interviewed in 2016)




0 No 1921 91.5%

1 Yes 179 8.5%

Sysmiss 228Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a01a: A01A Household sample type




1 Original (Baseline) 1921 82.5%

2 Replacement 179 7.7%

3 New 228 9.8%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a02: A02 Village Group




1 HARVEST activity villages 1680 72.2%

2 Comparison villages 648 27.8%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a03: A03 Village code



# a04: a04.1 Commune name




20202 Ta Meun 56 2.4%


-

# a04: a04.1 Commune name


20203 Outaki 82 3.5%

20209 Bansay Traeng 27 1.2%

20210 Rung Chrey 84 3.6%

20402 Khnach Romeas 56 2.4%

20605 Chrey 194 8.3%

20609 Robas Mongkol 83 3.6%

60117 Tnoat Chum 27 1.2%

60204 Kampong Svay 56 2.4%

60208 Tbaeng 27 1.2%

60209 Trapeang Ruessei 56 2.4%

60211 Prey Kuy 27 1.2%

60310 Srayov 56 2.4%

60405 Sala Visai 110 4.7%

60503 Sambour 28 1.2%

60703 Kampong Thma 56 2.4%

60707 Prasat 139 6.0%

150103 Khnar Totueng 83 3.6%

150106 Rumlech 111 4.8%

150110 Trapeang Chong 111 4.8%

150308 Ou Sandan 139 6.0%

150309 Sna Ansa 28 1.2%

150311 Thnaot Chum 110 4.7%

170202 Leang Dai 28 1.2%

170203 Peak Snaeng 28 1.2%

170411 Sangvaeuy 56 2.4%

170905 Kantreang 56 2.4%

170906 Kandaek 56 2.4%

170909 Trapaing Thum 54 2.3%

171006 Chreav 56 2.4%

171011 Ampil 54 2.3%

171101 Chan Sa 84 3.6%

171108 Popel 54 2.3%

171109 Samraong 56 2.4%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a05: a05.1 District name




202 Thma Koul 249 10.7%

204 Bavel 56 2.4%

206 Moung Ruessei 277 11.9%

601 Baray 27 1.2%

602 Kampong Svay 166 7.1%


-

# a05: a05.1 District name


603 Krong Stueng Saen 56 2.4%

604 Prasat Ballangk 110 4.7%

605 Prasat Sambour 28 1.2%

607 Santuk 195 8.4%

1501 Bakan 305 13.1%

1503 Krakor 277 11.9%

1702 Angkor Thom 56 2.4%

1704 Chi Kraeng 56 2.4%

1709 Prasat Bakong 166 7.1%

1710 Siem Reap 110 4.7%

1711 Soutr Nikom 194 8.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a06: a06.1 province name




2 Battambang 582 25.0%

6 Kampong Thom 582 25.0%

15 Pursat 582 25.0%

17 Siem Reap 582 25.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a08: A08 Type of Technical Assistance from HARVEST




0 No technical assistance 657 28.2%

1 Home Garden 930 39.9%

2 Aquaculture 122 5.2%

3 Rice Production 295 12.7%

4 All of the above 34 1.5%

5 Home Garden and Aquaculture 95 4.1%

6 Home Garden and Rice Production 171 7.3%

7 Aquaculture and Rice Production 24 1.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a09: A09 Type of household




1 Male And Female adult-household contains at least one male and 2156 92.6%one female adult ? 18 years old

2 Female adult only-household contains at least one female adult and 147 6.3%no male adults ? 18 years old


-

# a09: A09 Type of household


3 Male adult only - household contains at least one male adult and no female adults ? 18 years old 18 0.8%

4 Child only-household contains no adults ? 18 years old 7 0.3%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a10a: A10A Primary Respondent Name and ID (from Module C)




1 836 35.9%

2 1295 55.6%

3 104 4.5%

4 53 2.3%

5 18 0.8%

6 14 0.6%

7 3 0.1%

8 2 0.1%

9 2 0.1%

10 1 0.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# a11a: A11A Secondary Respondent Name and ID (from Module C)




1 447 19.2%

2 1450 62.3%

3 180 7.7%

4 123 5.3%

5 57 2.4%

6 32 1.4%

7 19 0.8%

8 10 0.4%

9 7 0.3%

10 2 0.1%


# a11a_2012: A11A.2012 Poverty status as defined by the government




1 Poor 1 183 7.9%

2 Poor 2 308 13.2%

3 Don?t know/Don?t remember 18 0.8%


-



4 No ID poor 1819 78.1%

5 Other 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.





1 Poor 1 107 4.6%

2 Poor 2 233 10.0%

3 Don?t know/Don?t remember 19 0.8%

4 No ID poor 1969 84.6%

5 Other 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# b01: B01 Do you agree to be interviewed




1 Yes 2328 100.0%

2 No 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# b01a: B01A ID member from module C




1 851 36.6%

2 1285 55.2%

3 100 4.3%

4 52 2.2%

5 18 0.8%

6 14 0.6%

7 3 0.1%

8 2 0.1%

9 2 0.1%


# b01_1: B01.1 Do you agree to be interviewed




1 Yes 2328 100.0%

2 No 0


-

# b01_1: B01.1 Do you agree to be interviewedWarning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# b01a_1: B01A.1 ID member from module C




1 467 20.1%

2 1440 61.9%

3 181 7.8%

4 120 5.2%

5 51 2.2%

6 31 1.3%

7 20 0.9%

8 8 0.3%

9 7 0.3%

10 2 0.1%


# b03: B03 How many woman respondents 15 years and above did not consent




0 2324 99.8%


# giz: Villages overlapped with GIZ areas




1 GIZ 308 100.0%


# con1: Contaminated village defined by Fintract




1 Contaminate village 27 100.0%


# con2: Possible contaminated village record from A08



# con2: Possible contaminated village record from A08

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# group: Type: Treatment / Control Group

Information[Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W][Valid=2328 /-] [Invalid=0 /-]


# trt_new: New treatment variable-excludes dropouts



Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.# trt_old: New treatment variable-includes dropouts




# group1: New control_treatment: with contamination1





-


1 Contaminated village record from A08 5 100.0%

Sysmiss 2323


1 treatment 1680 72.2%

2 control 648 27.8%


0 621 36.3%

1 1088 63.7%

Sysmiss 619


0 621 32.8%

1 1273 67.2%

Sysmiss 434


1 treatment 1707 73.3%

2 control 621 26.7%

File : harvest_module_c_2016

-

# a01: a01 household id



# c01: c01 items




1 2328 17.5%

2 2317 17.4%

3 2275 17.1%

4 2116 15.9%

5 1655 12.4%

6 1123 8.4%

7 681 5.1%

8 414 3.1%

9 213 1.6%

10 118 0.9%

11 57 0.4%

12 21 0.2%

13 12 0.1%

14 4 0.0%

15 3 0.0%

16 2 0.0%


# c03: c03 What is [NAME’s] relationship to household head?




1 household head 2328 17.5%

2 Spouse/partner 2044 15.3%

3 Son/daughter 6394 47.9%

4 Son/daughter-in-law 519 3.9%

5 Grandson/granddaughter 1158 8.7%

6 Mother/Father 247 1.9%

7 Brother/sister 136 1.0%

8 Nephew/niece 89 0.7%

9 Nephew/niece of spouse 83 0.6%

10 Cousin 6 0.0%

11 Brother/sister-in-law 81 0.6%

12 Mother/father-in-law 182 1.4%

13 Cousin of spouse 4 0.0%

14 Other relative 61 0.5%

15 Servant/Maid 1 0.0%


-

# c03: c03 What is [NAME’s] relationship to household head?


16 Laborer 0

17 Other relationship 7 0.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# c04: c04 What is [NAME’s] sex?




1 male 6694 50.2%

2 female 6646 49.8%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# c05: c05 What is [NAME’s] age?

Information [Type= continuous] [Format=numeric] [Range= 0-100] [Missing=*] {Changed to discrete with 5 year categories}


# c06: c06 Can [NAME] read and write?




1 Cannot read and write 2479 19.8%

2 Can sign only 416 3.3%

3 Can read only 875 7.0%

4 Can read and write 8728 69.8%


# c07: c07 Has [NAME] ever attended school?




1 yes 10844 86.8%

2 no 1654 13.2%


# c08: c08 What is the highest grade of education completed




0 pre-school 318 2.9%

1 grade 1 735 6.8%

2 grade 2 975 9.0%

3 grade 3 1175 10.8%

4 grade 4 1046 9.6%


-

# c08: c08 What is the highest grade of education completed


5 grade 5 1065 9.8%

6 grade 6 1008 9.3%

7 grade 7 1113 10.3%

8 grade 8 783 7.2%

9 grade 9 807 7.4%

10 grade 10 385 3.6%

11 grade 11 269 2.5%

12 grade 12 682 6.3%

13 university (bachelor or higher) 290 2.7%

14 various vocational training 27 0.2%

15 literacy class 166 1.5%


# c09: c09 Is [NAME] currently attending school?




1 yes 3054 28.2%

2 no 7790 71.8%


# c10: c10 Has [NAME] attended school last year?




1 yes 3028 27.9%

2 no 7816 72.1%


# c11: c11 If [NAME] attended school last year (C10=1) but is not attending this year (




1 Dropped out 69 66.3%

2 Failed/did not continue 19 18.3%

3 Graduated and no school available 9 8.7%

4 Other (specify) 7 6.7%


# cn01: CN01 How many brothers and sisters do you have? Ask only to the head 2016



-

# cn01: CN01 How many brothers and sisters do you have? Ask only to the head 2016



1 70 3.0%

2 204 8.8%

3 276 11.9%

4 327 14.0%

5 370 15.9%

6 357 15.3%

7 305 13.1%

8 199 8.5%

9 114 4.9%

10 57 2.4%

11 22 0.9%

12 23 1.0%

13 2 0.1%

14 1 0.0%

15 1 0.0%


# cn02a: CN02A Month of birth date if child less than 5 years old




1 January 106 9.7%

2 February 81 7.4%

3 March 84 7.7%

4 April 104 9.5%

5 May 83 7.6%

6 June 73 6.7%

7 July 101 9.2%

8 August 97 8.9%

9 September 93 8.5%

10 October 97 8.9%

11 November 93 8.5%

12 December 81 7.4%


# cn02b: CN02B Year of birth date if child less than 5 years old

Information [Type= discrete] [Format=character] [Missing=*]



2011 51 4.7%

2012 245 22.4%


-

# cn02b: CN02B Year of birth date if child less than 5 years old


2013 197 18.0%

2014 219 20.0%

2015 211 19.3%


# cn03: CN03 Was [NAME] born in this village?




1 Yes 11148 83.6%

2 No 2192 16.4%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# cn03a: CN03A If born outside this village, please indicate the province / country




1 Banteay Meanchey 37 1.7%

2 Battambang 415 18.9%

3 Kampong Cham 69 3.1%

4 Kampong Chhnang 31 1.4%

5 Kampong Speu 38 1.7%

6 Kampong Thom 397 18.1%

7 Kampot 51 2.3%

8 Kandal 64 2.9%

9 Koh Kong 6 0.3%

10 Kratie 2 0.1%

11 Mondul Kiri 0

12 Phnom Penh 37 1.7%

13 Preah Vihear 30 1.4%

14 Prey Veng 1 0.0%

15 Pursat 390 17.8%

16 Ratanak Kiri 1 0.0%

17 Siemreap 423 19.3%

18 Preah Sihanouk 2 0.1%

19 Stung Treng 9 0.4%

20 Svay Rieng 29 1.3%

21 Takeo 124 5.7%

22 Oddar Meanchey 7 0.3%

23 Kep 0

24 Pailin 5 0.2%

25 Tboung Khmum 0

26 Thailand 14 0.6%


-

# cn03a: CN03A If born outside this village, please indicate the province / country


27 Korea 0

28 Vietnam 10 0.5%

29 China 0

30 Laos 0

31 Malaysia 0

32 Indonesia 0


# cn04: CN04 Household member status in 2016 compared to 2012 baseline




1 New 1162 8.7%

2 Left 2281 17.1%

3 No 7959 59.7%

99 N/A 1938 14.5%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# cn04a: CN04A For those that joined the household, what is the main reason?




1 Marriage 250 21.5%

2 School 33 2.8%

3 Death 0

4 Sickness 8 0.7%

5 Work or looking for work 29 2.5%

6 Divorce/Separation 19 1.6%

7 Retirement 0

8 Live with other relatives 234 20.1%

9 Birth 544 46.8%

10 Old age 9 0.8%


12 Go with family father or mother 16 1.4%


# cn04b: CN04B For those that left the household, what is the main reason?




1 Marriage 742 32.5%

2 School 89 3.9%


-

# cn04b: CN04B For those that left the household, what is the main reason?


3 Death 177 7.8%

4 Sickness 3 0.1%

5 Work or looking for work 940 41.2%

6 Divorce/Separation 44 1.9%

7 Retirement 0

8 Live with other relatives 140 6.1%

9 Birth 0

10 Old age 0


12 Go with family father or mother 80 3.5%


# cn04c: CN04C Where did [NAME] go?




1 Within province (urban area) 224 10.6%

2 Within province (rural area) 742 35.3%

3 Within country 664 31.6%

4 Within Southeast Asia 449 21.3%

5 Middle East 4 0.2%

6 US/Canada/Australia 14 0.7%

7 European Countries 5 0.2%

8 Others (specify) 2 0.1%


# cn05a: CN05A.2012 What is [NAME] main occupation? (for members who are than 10 years ol




0 N/A 0

1 Farming 5896 60.0%


3 Farm laborer 97 1.0%

4 Non-Farm laborer 440 4.5%

5 Salaried employment 591 6.0%

6 Self-employed (business owner) 338 3.4%

7 Artisan 1 0.0%

8 Retired 3 0.0%

9 In school 1976 20.1%

10 Not employed (looking for job) 28 0.3%

11 Home maker 112 1.1%


-

# cn05a: CN05A.2012 What is [NAME] main occupation? (for members who are than 10 years ol


12 Unpaid worker/volunteer 5 0.1%

13 Disability 299 3.0%

14 Too young 11 0.1%



# cn05b: CN05B.2016 What is [NAME] main occupation? (for members who are than 10 years ol




0 N/A 0

1 Farming 4958 45.6%


3 Farm laborer 126 1.2%

4 Non-Farm laborer 865 7.9%

5 Salaried employment 1338 12.3%

6 Self-employed (business owner) 649 6.0%

7 Artisan 1 0.0%

8 Retired 9 0.1%

9 In school 2044 18.8%

10 Not employed (looking for job) 69 0.6%

11 Home maker 312 2.9%

12 Unpaid worker/volunteer 17 0.2%

13 Disability 437 4.0%

14 Too young 10 0.1%



# cn06: CN06 In the past 5 years, has ? [NAME] lived outside this village and returned h




1 Yes 753 7.5%

2 No 9233 92.5%


# cn06a: CN06A If yes, where did ..[NAME] go and then reture home?




1 Within province (urban area) 44 5.8%


-

# cn06a: CN06A If yes, where did ..[NAME] go and then reture home?


2 Within province (rural area) 52 6.9%

3 Within country 215 28.6%

4 Within Southeast Asia 435 57.8%

5 Middle East 3 0.4%

6 US/Canada/Australia 2 0.3%

7 European Countries 1 0.1%

8 Others (specify) 1 0.1%


# cn06b: CN06B Why did [NAME] reture?




1 Finished job 120 15.9%

2 Becuase family 160 21.2%

3 Marriage 35 4.6%

4 Better job 93 12.4%

5 Study finished 26 3.5%

6 Homesick 54 7.2%

7 Returned to farm 232 30.8%



# cn07: CN07 Is [NAME] a member of any organization or group?




1 Yes 1769 17.7%

2 No 8217 82.3%


# cn08: CN08 If yes, year when [NAME] first became a member of an organization? in year




1988 1 0.1%

1989 2 0.1%

1990 2 0.1%

1992 1 0.1%

1993 3 0.2%

1997 8 0.5%

# cn08: CN08 If yes, year when [NAME] first became a member of an organization? in year


# cn09: CN09 In the past week, how many hours did [name] spend on agricultural activitieInformationStatistics [NW/ W]

[Type= continuous] [Format=numeric] [Range= 0-91] [Missing=*][Valid=9986 /-] [Invalid=3354 /-] [Mean=10.725 /-] [StdDev=16.179 /-]

# cn10: CN10 In the past week, how many hours did [name] spend on agricultural activitie

InformationStatistics [NW/ W]


# cn11: CN11 In the past week, how many hours did [name] spend on non-agricultural emplo




-


1998 2 0.1%

1999 4 0.2%

2000 21 1.2%

2001 7 0.4%

2002 18 1.0%

2003 19 1.1%

2004 10 0.6%

2005 23 1.3%

2006 54 3.1%

2007 17 1.0%

2008 22 1.2%

2009 25 1.4%

2010 77 4.4%

2011 79 4.5%

2012 776 43.9%

2013 212 12.0%

2014 162 9.2%

2015 94 5.3%

2016 129 7.3%

9888 Don't know 1 0.1%

Sysmiss 11571

File : harvest_module_d_2016

-




# d01_2012: D01.2012 What is the main construction material of your dwelling?s roof?




1 Thatch/leaves/grass 55 13.5%

2 Tiles 124 30.5%

3 Fibrous cement 8 2.0%

4 Galvanized iron or aluminum 218 53.6%

5 Salvaged materials 1 0.2%

6 Mixed but predominantly made of galvanized iron/aluminum, tiles 1 0.2%or fibrous cement

7 Mixed but predominantly made of thatch/leave /grass or salvaged 0materials

8 Concrete 0

9 Plastic sheet 0

10 Other (Specify) 0

96 Baseline 0


# d01: D01. What is the main construction material of your dwelling's roof?




1 Thatch/leaves/grass 70 3.0%

2 Tiles 947 40.7%

3 Fibrous cement 121 5.2%


5 Salvaged materials 5 0.2%

6 Mixed but predominantly made of galvanized iron/aluminum, tiles or fibrous cement

7 Mixed but predominantly made of thatch/leave /grass or salvaged materials

5 0.2%

1 0.0%

8 Concrete 4 0.2%

9 Plastic sheet 0


96 Baseline 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d02_2012: D02.2012 What is the main construction material of your dwelling?s floor?




-

# d02_2012: D02.2012 What is the main construction material of your dwelling?s floor?


1 Earth, clay 38 9.3%

2 Wooden planks 294 72.2%

3 Bamboo strips 30 7.4%

4 Cement/Brick/Stone 29 7.1%

5 Parquet, polished wood 13 3.2%

6 Polished stone, marble 0

7 Vinyl 0

8 Ceramic tiles 3 0.7%

9 Other (Specify) 0


# d02: D02. What is the main construction material of your dwelling's floor?




1 Earth, clay 105 4.5%

2 Wooden planks 1828 78.5%

3 Bamboo strips 51 2.2%

4 Cement/Brick/Stone 166 7.1%

5 Parquet, polished wood 139 6.0%

6 Polished stone, marble 2 0.1%

7 Vinyl 0

8 Ceramic tiles 37 1.6%

9 Other (Specify) 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d03_2012: D03.2012 What is the main construction material of your dwelling?s exterior wall




1 Bamboo, Thatch/leaves, Grass 123 30.2%

2 Wood or logs 234 57.5%

3 Plywood 2 0.5%

4 Concrete, brick, stone 9 2.2%


6 Fibrous cement/Asbestos 0

7 Makeshift, mixed materials 3 0.7%

8 Clay/dung with straw 0

9 Other, specify 0


# d03: D03. What is the main construction material of your dwelling's exterior wall



-

# d03: D03. What is the main construction material of your dwelling's exterior wall



1 Bamboo, Thatch/leaves, Grass 350 15.0%

2 Wood or logs 1552 66.7%

3 Plywood 7 0.3%

4 Concrete, brick, stone 136 5.8%


6 Fibrous cement/Asbestos 3 0.1%

7 Makeshift, mixed materials 12 0.5%

8 Clay/dung with straw 1 0.0%

9 Other, specify 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d04_2012: D04.2012 How many rooms are there in this dwelling?




0 7 1.7%

1 344 84.5%

2 45 11.1%

3 10 2.5%

4 1 0.2%


# d04: D04. How many rooms are there in this dwelling?




0 9 0.4%

1 1790 76.9%

2 433 18.6%

3 80 3.4%

4 11 0.5%

5 3 0.1%


# d05_2012: D05.2012 What is the main type of toilet your household uses?




1 Pour flush (or flush) connected to sewerage 8 2.0%

2 Pour flush (or flush) to septic tank or pit 177 43.5%

3 Pour flush (or flush) to elsewhere (i.e. not a sewer or pit/tank 5 1.2%


-

# d05_2012: D05.2012 What is the main type of toilet your household uses?


4 Pit latrine with slab 0

5 Pit latrine without slab or open pit 10 2.5%

6 Latrine overhanging field or water (drop in the field, pond, lake, 9 2.2%river, sea)

7 None 198 48.6%

8 Other, specify 0


# d05: D05. What is the main type of toilet your household uses?




1 Pour flush (or flush) connected to sewerage 56 2.4%

2 Pour flush (or flush) to septic tank or pit 1641 70.5%

3 Pour flush (or flush) to elsewhere (i.e. not a sewer or pit/tank 37 1.6%

4 Pit latrine with slab 6 0.3%

5 Pit latrine without slab or open pit 16 0.7%

6 Latrine overhanging field or water (drop in the field, pond, lake, 23 1.0%river, sea)

7 None 549 23.6%

8 Other, specify 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d06_2012: D06.2012 What is the main source of drinking water for your household?




1 Piped in dwelling or on premises 3 0.7%

2 Public tap 1 0.2%

3 Tubed/piped well or borehole 128 31.4%

4 Protected dug well 129 31.7%

5 Unprotected dug well 13 3.2%

6 Pond, river or stream (fetch water from pond, river, stream) 71 17.4%

7 Pond, river or stream (pump to the house) 44 10.8%

8 Improved rainwater collection 0

9 Unimproved rainwater collection 6 1.5%

10 Water bought from tanker truck or vendor 12 2.9%



# d06: D06. What is the main source of drinking water for your household?




-

# d06: D06. What is the main source of drinking water for your household?


1 Piped in dwelling or on premises 46 2.0%

2 Public tap 14 0.6%

3 Tubed/piped well or borehole 831 35.7%

4 Protected dug well 679 29.2%

5 Unprotected dug well 74 3.2%

6 Pond, river or stream (fetch water from pond, river, stream) 206 8.8%

7 Pond, river or stream (pump to the house) 301 12.9%

8 Improved rainwater collection 20 0.9%

9 Unimproved rainwater collection 50 2.1%

10 Water bought from tanker truck or vendor 107 4.6%

11 Other (Specify) 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d07_2012: D07.2012 What is the main lighting source for your household?




1 Publicly-provided electricity 87 21.4%

2 Generator 3 0.7%

3 Battery 237 58.2%

4 Kerosene lamp 67 16.5%

5 Candle 0

6 None 2 0.5%

7 Solar Panel 11 2.7%

8 Other (specify 0


# d07: D07. What is the main lighting source for your household?





2 Generator 6 0.3%

3 Battery 390 16.8%

4 Kerosene lamp 41 1.8%

5 Candle 2 0.1%

6 None 1 0.0%

7 Solar Panel 181 7.8%

8 Other (specify 14 0.6%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d08_2012: D08.2012 What is the main source of cooking fuel for your household?



-

# d08_2012: D08.2012 What is the main source of cooking fuel for your household?



1 Firewood 395 97.1%

2 Charcoal 10 2.5%

3 Liquefied petroleum gas LPG 2 0.5%

4 Kerosene 0

5 Publicly-provided electricity 0

6 Household generator 0

7 None/don?t cook 0

8 Other (Specify) 0


# d08: D08. What is the main source of cooking fuel for your household?



0.8%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d10_2012: D10.2012 What is the main destination of household waste for this household?




1 Individual household dump/hole 406 99.8%

2 Community dump/hole 0

3 Community collection 0

4 Other 1 0.2%


# d10: D10. What is the main destination of household waste for this household?




1 Individual household dump/hole 2322 99.7%

2 Community dump/hole 3 0.1%

3 Community collection 0


1 Firewood 2152 92.4%

2 Charcoal 117 5.0%

3 Liquefied petroleum gas LPG 37 1.6%

4 Kerosene 0


6 Household generator 0

7 None/don?t cook 0



-

# d10: D10. What is the main destination of household waste for this household?


4 Other 3 0.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d11_2012: D11.2012 Number of wardrobes or cabinets owned by the household




0 1679 72.1%

1 486 20.9%

2 126 5.4%

3 28 1.2%

4 6 0.3%


# d11: D11. Number of wardrobes or cabinets owned by the household




0 1249 53.7%

1 787 33.8%

2 216 9.3%

3 59 2.5%

4 10 0.4%

5 5 0.2%


# d12_2012: D12.2012 Number of cows, buffaloes, cattle owned by the household?



# d12: D12. Number of cows, buffaloes, cattle owned by the household?



# d13_2012: D13.2012 Number of horses owned by the household?




0 2321 99.7%

1 4 0.2%

2 1 0.0%

6 1 0.0%

8 1 0.0%


-

# d13_2012: D13.2012 Number of horses owned by the household?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# d13: D13. Number of horses owned by the household?




0 2327 100.0%


# d14_2012: D14.2012 Number of mules, donkeys owned by the household?





# d14: D14. Number of mules, donkeys owned by the household?





# d15_2012: D15.2012 Number of goats and sheep owned by the household?





# d15: D15. Number of goats and sheep owned by the household?





# d16_2012: D16.2012 Number of pigs owned by the household?



# d16: D16. Number of pigs owned by the household?



# d17_2012: D17.2012 Number of ducks, geese owned by the household?


-

File : harvest_module_d_2016# d17_2012: D17.2012 Number of ducks, geese owned by the household?


# d17: D17. Number of ducks, geese owned by the household?



# d18_2012: D18.2012 Number of chickens owned by the household?



# d18: D18. Number of chickens owned by the household?


[Valid=2328 /-] [Invalid=0 /-] [Mean=8.307 /-] [StdDev=11.025 /-]Statistics [NW/ W]

File : harvest_module_e1_2016

-




# e1_01: e1_01 items




1 Rice 2328 1.3%

2 Bread 2328 1.3%

3 Corn 2328 1.3%

4 Wheat flour 2328 1.3%

5 Noodles 2328 1.3%


10 Cassava tubers 2328 1.3%

11 Cassava powder 2328 1.3%

12 Sweet potato 2328 1.3%

13 Irish potato 2328 1.3%


21 Green gram 2328 1.3%

22 Dhall 2328 1.3%

23 Cowpea 2328 1.3%

24 Coconut 2328 1.3%


31 Egg plant 2328 1.3%

32 Onion 2328 1.3%

33 Shallot 2328 1.3%

34 Cabbage 2328 1.3%

35 Spinach 2328 1.3%

36 Carrots 2328 1.3%

37 Beans 2328 1.3%

38 Tomato 2328 1.3%

39 Cucumber 2328 1.3%

40 Pumpkin 2328 1.3%

41 Chilli 2328 1.3%

42 Other vegetable 2328 1.3%

43 Other prepared vegetables 2328 1.3%

51 Beef 2328 1.3%

52 Buffalo 2328 1.3%

53 Mutton 2328 1.3%

54 Lamb 2328 1.3%

55 Pork 2328 1.3%

56 Poultry (Chicken or Duck) 2328 1.3%

57 Eggs 2328 1.3%

58 Fish 2328 1.3%

-

File : harvest_module_e1_2016# e1_01: e1_01 items


59 Shrimp 2328 1.3%

60 Prawn 2328 1.3%

61 Crab 2328 1.3%

62 OTHER SPECIFY) 2328 1.3%

71 Banana 2328 1.3%

72 Mango 2328 1.3%

73 Pineapple 2328 1.3%

74 Papaya 2328 1.3%

75 Durian and Jack fruit 2328 1.3%

76 Water melon 2328 1.3%

77 Other (Specify) 2328 1.3%

100 2328 1.3%

110 2328 1.3%

111 Milk 2328 1.3%

112 Ice Cream 2328 1.3%


120 2328 1.3%

126 Sugar 2328 1.3%

127 Cooking oil 2328 1.3%

128 Salt 2328 1.3%

129 Spice of all kinds 2328 1.3%


136 Tea 2328 1.3%

137 Coffee 2328 1.3%

138 Fruit juice 2328 1.3%

139 Soft drinks 2328 1.3%

140 Bottled / canned beer 2328 1.3%

141 Other alcohol (Wine, whiskey 2328 1.3%

150 2328 1.3%

170 2328 1.3%

171 Meals eaten outside home 2328 1.3%

172 Meals at school 2328 1.3%

173 Snacks 2328 1.3%

1110 2328 1.3%

1210 2328 1.3%

1301 2328 1.3%

1310 2328 1.3%


# e1_02: e1_02 Over the past one week (7 days), did you or others in your household consu


[Valid=151320 /-] [Invalid=23280 /-]Statistics [NW/ W]

-

# e1_02: e1_02 Over the past one week (7 days), did you or others in your household consu


1 yes 50826 33.6%

2 no 100494 66.4%


# e1_03: e1_03 Purchased in cash (riels)



# e1_04: e1_04 Owned product ( riels)



# e1_05: e1_05 Gifts, Free collections, (Imputed value) (riels)



# e1_06: E1.06 Did you or someone in your household consume this item yesterday?




1 Yes 33080 65.1%

2 No 17746 34.9%


# e1_07: E1.07 How many days in the past 7 days did your HH consume foods from this food




0 5982 25.7%

1 1764 7.6%

2 1483 6.4%

3 1384 5.9%

4 906 3.9%

5 885 3.8%

6 1030 4.4%

7 9846 42.3%


File : harvest_module_e2_2016# a01: a01 household id

Information[Type= continuous] [Format=numeric] [Range= 202020802-1711090735] [Missing=*]

Statistics [NW/ W][Valid=18624 /-] [Invalid=0 /-] [Mean=1004817199.468 /-] [StdDev=621355687.109 /-]

# e2_01: e2_01 items




# e2_02: e2_02 Over the past one week (7 days), did your household use or buy any [...]?




# e2_03: e2_03 How much did you pay (how much did they cost) in total? (0000 Riels)



-


191 Charcoal 2328 12.5%

192 Paraffin or kerosene 2328 12.5%

193 Cigarettes or other tobacco 2328 12.5%

194 Candles 2328 12.5%

195 Matches 2328 12.5%

196 Public transport - Bicycle Taxi (include any used for school), Bus, 2328 12.5%Minibus

197 Others 2328 12.5%

9999 2328 12.5%


1 yes 6422 39.4%

2 no 9874 60.6%

Sysmiss 2328


-




# e3_01: e3_01 items




211 Milling fees for grains (not including cost of grain itself), grain 2328 6.2%

212 Bar soap (body soap or clothes soap) 2328 6.2%

213 Clothes soap (powder, paste) 2328 6.2%

214 Toothpaste, toothbrush 2328 6.2%

215 Personal products (shampoo, razor blades, cosmetics, hair products, 2328 6.2%etc.)

216 Light bulbs 2328 6.2%

217 Phone charges, postage stamps or other postal fees 2328 6.2%

218 Donation - to church, charity, beggar, etc. 2328 6.2%

219 Petrol or diesel 2328 6.2%

220 Bicycle service, repair, or parts 2328 6.2%

221 Repairs to household and personal items (radios, watches, etc., 2328 6.2%excluding battery purchases)

222 Anything related to illnesses and injuries, including for medicine, 2328 6.2%tests, consultation, & in-patient fees,

223 Medical care not related to an illness - preventative health care, pre- 2328 6.2%natal visits, check-ups, etc.

224 Others… 2328 6.2%

2171 2328 6.2%


# e3_02: e3_02 Did you purchase [….] over the past one month?




1 yes 20530 58.8%

2 no 14390 41.2%



Information [Type= continuous] [Format=numeric] [Range= 0.02-1200] [Missing=*]


-




# e4_01: e4_01 items




# e4_02: e4_02 Over the past three months, did your household use or buy any [...]?





Information [Type= continuous] [Format=numeric] [Range= 0-165.292861938477] [Missing=*]



241 Infant clothing 2328 7.7%

242 Boy's clothing including shoes 2328 7.7%

243 Men's clothing including shoes 2328 7.7%

244 Girl's clothing and shoes 2328 7.7%

245 Lady's clothing and shoes 2328 7.7%

246 Cloth, thread, other sewing material 2328 7.7%

247 Bowls, glassware, plates, silverware, etc. 2328 7.7%

248 Cooking utensils (cook-pots, stirring spoons and whisks, etc.) 2328 7.7%

249 Cleaning utensils (brooms, brushes, etc.) 2328 7.7%

250 Torch / flashlight 2328 7.7%

251 Umbrella 2328 7.7%

252 Other 2328 7.7%

9999 2328 7.7%


1 yes 6549 23.4%

2 no 21387 76.6%

Sysmiss 2328


-




# e5_01: e5_01 items




291 Mattress, rugs, drapes, curtains 2328 5.9%

292 Linen - towels, sheets, blankets 2328 5.9%

293 Mat - sleeping or for drying maize flour 2328 5.9%

294 Mosquito net 2328 5.9%

295 Cement, brick, and construction timber 2328 5.9%

296 Marriage ceremony costs 2328 5.9%

297 Funeral costs, household members 2328 5.9%

298 Funeral costs, non-household members (relatives, neighbors/friends) 2328 5.9%

299 Hospitalizations or overnight stay in any hospital – total cost for 2328 5.9%treatment

300 Tuition, including extra tuition fees 2328 5.9%

301 Expenditures on after school programs and tutoring 2328 5.9%

302 School books and stationary 2328 5.9%

303 School uniform 2328 5.9%

304 Boarding fees 2328 5.9%

305 Transport to and from school 2328 5.9%

306 Other 2328 5.9%


# e5_02: e5_02 Over the past one year (twelve months), did your household use or buy any




1 yes 16294 43.7%

2 no 20954 56.3%






-




# e6_00: E6.00 House Code




1 2328 49.7%

2 28 0.6%

3 1 0.0%

9999 Total 2328 49.7%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# e6_01: e6_01 Do you own or are purchasing this house, is it provided to you by an emplo




1 own 2310 98.0%

2 beingpurchased 0

3 employer provides 0

4 free, authorized 44 1.9%

5 free, not authorized 1 0.0%

6 rented 2 0.1%

98 don’t know/non-response/na 0


# e6_02: e6_02 If you sold this dwelling today, how much would you receive for it? (no la




0 43 0.9%

3 2 0.0%

5 8 0.2%

10 21 0.5%

13 4 0.1%

15 8 0.2%

16 2 0.0%

20 50 1.1%

25 8 0.2%

30 32 0.7%

32 2 0.0%

35 2 0.0%

36 4 0.1%

40 47 1.0%


-

# e6_02: e6_02 If you sold this dwelling today, how much would you receive for it? (no la


50 71 1.5%

60 16 0.3%

65 2 0.0%

70 8 0.2%

75 2 0.0%

80 64 1.4%

90 4 0.1%


100 207 4.5%

120 56 1.2%

130 4 0.1%

140 6 0.1%

144 2 0.0%

145 2 0.0%

150 88 1.9%

160 16 0.3%

170 4 0.1%

180 18 0.4%

200 430 9.3%

210 2 0.0%

240 18 0.4%

250 21 0.5%

280 30 0.6%

300 191 4.1%

320 32 0.7%

350 11 0.2%

360 6 0.1%

390 2 0.0%

400 520 11.3%

410 2 0.0%

420 7 0.2%

440 2 0.0%

450 18 0.4%

480 22 0.5%

500 135 2.9%

520 18 0.4%

550 4 0.1%

560 2 0.0%

600 287 6.2%

620 2 0.0%

640 2 0.0%

650 12 0.3%

680 2 0.0%

-

File : harvest_module_e6_2016# e6_02: e6_02 If you sold this dwelling today, how much would you receive for it? (no la


695 2 0.0%

700 46 1.0%

720 8 0.2%

750 6 0.1%

780 2 0.0%

800 456 9.9%

810 1 0.0%

850 10 0.2%

880 2 0.0%

900 15 0.3%

950 3 0.1%

960 2 0.0%

1000 174 3.8%

1080 2 0.0%

1100 2 0.0%

1200 353 7.6%

1300 4 0.1%

1320 2 0.0%

1352 2 0.0%

1360 2 0.0%

1400 43 0.9%

1440 2 0.0%

1500 31 0.7%

1540 1 0.0%

1600 123 2.7%

1700 2 0.0%

1800 16 0.3%

1885 2 0.0%

2000 316 6.8%

2200 6 0.1%

2300 1 0.0%

2400 59 1.3%

2500 2 0.0%

2700 2 0.0%

2800 47 1.0%

3000 14 0.3%

3200 54 1.2%

3500 4 0.1%

3600 9 0.2%

3620 1 0.0%

3800 2 0.0%

4000 118 2.6%

4200 2 0.0%

-

33

File : harvest_module_e6_2016# e6_02: e6_02 If you sold this dwelling today, how much would you receive for it? (no la


4400 2 0.0%

4500 2 0.0%

4800 7 0.2%

5000 4 0.1%

5100 1 0.0%

5112 2 0.0%

5200 3 0.1%

5600 2 0.0%

5700 1 0.0%

5800 2 0.0%

6000 14 0.3%

6400 4 0.1%

6800 4 0.1%

7200 5 0.1%

7700 1 0.0%

8000 14 0.3%

9000 2 0.0%

9600 2 0.0%

10000 2 0.0%

12000 8 0.2%

20000 1 0.0%

21400 1 0.0%


# e6_03: e6_03 How many years ago was this house built? (Years)




2.1%

4.4%

5.0%

4.1%

4.5%

5.0%

5.1%

0.6%

3.6%

4.3%

0 49

1 102

2 114

3 94

4 103

5 114

6 117

6.769230842590 13

7 83

8 100

9 42 1.8%

10 210 9.1%

11 52 2.3%

12 84 3.6%

13 59 2.6%

-

File : harvest_module_e6_2016# e6_03: e6_03 How many years ago was this house built? (Years)


14 47 2.0%

15 101 4.4%

16 81 3.5%

17 39 1.7%

18 45 2.0%

19 24 1.0%

20 189 8.2%

21 23 1.0%

22 42 1.8%

23 42 1.8%

24 15 0.7%

25 77 3.3%

26 38 1.7%

27 13 0.6%

28 18 0.8%

29 11 0.5%

30 71 3.1%

31 13 0.6%

32 2 0.1%

33 12 0.5%

34 8 0.3%

35 20 0.9%

36 12 0.5%

37 10 0.4%

38 2 0.1%

40 4 0.2%

43 1 0.0%

45 1 0.0%

46 1 0.0%

50 3 0.1%

55 1 0.0%

70 1 0.0%



# e6_04a: e6_04a If you rented this dwelling today, how much rent would you receive? (‘000



# e6_04b: e6_04b If you rented this dwelling today, how much rent would you receive? (Unit



-

File : harvest_module_e6_2016# e6_04b: e6_04b If you rented this dwelling today, how much rent would you receive? (Unit


# e6_05a: e6_05a How much do you pay to rent this dwelling? (0000 riel)



# e6_05b: e6_05b How much do you pay to rent this dwelling? (unit)





1 day 9 0.4%

2 week 0

3 month 2303 97.8%

4 year 29 1.2%

98 don’t know/non-response/na 14 0.6%


1 day 8 0.3%

2 week 3 0.1%

3 month 2303 97.7%

4 year 28 1.2%

98 don’t know/non-response/na 15 0.6%

-




# e7_02: e7_02 items




# e7_03: e7_03 Total number



1 Radio 2328 2.9%

2 Television 2328 2.9%

3 Telephone 2328 2.9%

4 Cell phone 2328 2.9%

5 Video/VCD/DVD player/recorder 2328 2.9%

6 Stereo 2328 2.9%

7 Camera (picture/video) 2328 2.9%

8 Satellite dish 2328 2.9%

9 Bicycle 2328 2.9%

10 Motorcycle 2328 2.9%

11 Sewing machine 2328 2.9%

12 Electric Kitchen/Gas Stove 2328 2.9%

13 Electric iron 2328 2.9%

14 Electric fan 2328 2.9%

15 Suitcases/box for store/ travelling 2328 2.9%

16 Batteries 2328 2.9%

17 Sofa set 2328 2.9%

18 Dining set (dining table + chairs) 2328 2.9%

19 Bed sets (Bed, Mattress…) 2328 2.9%

20 Wardrobe, cabinets 2328 2.9%

21 Rowing boat 2328 2.9%

22 Motor Boat 2328 2.9%

23 Cart (pulled by animal) 2328 2.9%

24 Tractor 2328 2.9%

25 Plough 2328 2.9%

26 Threshing machine 2328 2.9%

27 Rice mill 2328 2.9%

28 Water pump 2328 2.9%


41 2328 2.9%

42 2328 2.9%

101 2328 2.9%

102 2328 2.9%

9999 2328 2.9%

-

File : harvest_module_e7_2016# e7_03: e7_03 Total number


# e7_04: e7_04 What was the purchase value (or the imputed value) of all these. [ITEM]]s?

Information [Type= discrete] [Format=numeric] [Range= 0-20263.7421875] [Missing=*]



9888 don't knowWarning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# e7_05: e7_05 According to current prices, what do you think you could get if you sold.[

Information [Type= discrete] [Format=numeric] [Range= 0-11387.2001953125] [Missing=*]



9888 don't knowWarning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

-




# e801: e8_01 items




# e802: e8_02 Did anyone in the household receive cash or in-kind income from any of the




# e803: e8_03 If yes, how many household members received income from sources?



# e804: e8_04 What is the estimated total income from the past 12 months? ('0000 Riel)



# e805: E8.05 In your opinion has your income from this source increased, decreased or r




1 Rice Farming 2328 6.2%

2 Vegetable Farming 2328 6.2%

3 Other Crops 2328 6.2%

4 Fishing 2328 6.2%

5 Daily or occasional wage 2328 6.2%

6 Monthly wage/ salary work 2328 6.2%

7 Self-employment/own (Net profit) business 2328 6.2%

8 Sale of land / other assets 2328 6.2%

9 Remittances 2328 6.2%

10 Gifts /inheritance 2328 6.2%

11 Sale of Livestock (all kinds) and sub-products (all kinds) 2328 6.2%

12 Non timbers forest products 2328 6.2%

13 Pensions 2328 6.2%


15 2328 6.2%

9999 2328 6.2%


1 yes 9955 28.5%

2 no 24965 71.5%

Sysmiss 2328

-

File : harvest_module_e8_2016# e805: E8.05 In your opinion has your income from this source increased, decreased or r



1 Increased 3578 35.9%

2 Decreased 3161 31.8%

3 Same/no change 3168 31.8%

98 Don?t know 48 0.5%

Sysmiss 27293

File : harvest_module_f_2016

-




# f01: f01 In the past [4 weeks/30 days] was there ever no food to eat of any kind in y




1 yes 20 0.9%

2 no 2308 99.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# f02: f02 How often did this happen in the past [4 weeks/30 days]?




1 Rarely (1-2 times) 3 15.0%

2 Sometimes (3-10 times) 13 65.0%

3 Often (more than 10 times) 4 20.0%


# f03: f03 In the past [4 weeks/30 days] did you or any household member go to sleep at




1 yes 5 0.2%






1 Rarely (1-2 times) 2 40.0%


3 Often (more than 10 times) 0


# f05: f05 In the past [4 weeks/30 days] did you or any household member go a whole da




1 yes 3 0.1%




[Type= discrete] [Format=numeric] [Range= 1-3] [Missing=*][Valid=3 /-] [Invalid=2325 /-]


File : harvest_module_f_2016

-


1 Rarely (1-2 times) 2 66.7%


3 Often (more than 10 times) 0

Sysmiss 2325

File : harvest_module_h_2016

-




# h0: h0 Items




1 Woman 1 1905 69.9%

2 Woman 2 544 19.9%

3 Woman 3 248 9.1%

4 Woman 4 28 1.0%

5 Woman 5 2 0.1%

6 Woman 6 0

7 Woman 7 0

8 Woman 8 0

9 Woman 9 0

10 Woman 10 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# h_1: h_1 WOMAN’S ID CODE FROM THE HOUSEHOLD ROSTER (Module C)




1 103 3.8%

2 1266 46.4%

3 481 17.6%

4 364 13.3%

5 232 8.5%

6 129 4.7%

7 74 2.7%

8 43 1.6%

9 21 0.8%

10 10 0.4%


# h_2: h_2 Please tell me how old you are. What was your age at your last birthday?



# h_3: h_3 Is the respondent age between the ages of 15 and 49 years old?




1 Yes 2727 100.0%


-

# h_3: h_3 Is the respondent age between the ages of 15 and 49 years old?


2 No 0

98 Don't know 0

777 Absent 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# h_4: h_4 IS THE RESPONDENT BETWEEN THE AGES OF 15 AND 49 YEARS?




0 200 7.3%

1 Yes 2527 92.7%

2 No 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# h_4a: H4A. Tell me about [Respondent?s] natural mother. How many children



# h_4b: H4B.What was [Respondent?s] birth order? For example, is she first born?



# h_4c: H4C. How many years of formal schooling respondent?s natural mother have?




0 No school/pre-school 843 33.4%

1 Grade 1 155 6.1%

2 Grade 2 250 9.9%

3 Grade 3 266 10.5%

4 Grade 4 237 9.4%

5 Grade 5 131 5.2%

6 Grade 6 66 2.6%

7 Grade 7 67 2.7%

8 Grade 8 49 1.9%

9 Grade 9 37 1.5%

10 Grade 10 11 0.4%

11 Grade 11 3 0.1%

12 Grade 12 4 0.2%

13 University (bachelor or higher) 2 0.1%

14 Various vocational training 1 0.0%

15 Literacy class 139 5.5%

98 Don?t know 266 10.5%



-

# h_4d: H4D. Respondent?s marital status?




1 Never married 774 30.6%

2 Married, living with husband 1622 64.2%

3 Married, husband away 29 1.1%

4 Divorced / separated 55 2.2%

5 Widowed 47 1.9%





0 906 35.9%

1 335 13.3%

2 479 19.0%

3 373 14.8%

4 245 9.7%

5 85 3.4%

6 61 2.4%

7 29 1.1%

8 8 0.3%

9 3 0.1%

10 1 0.0%

11 1 0.0%

12 1 0.0%


# h_4f: H4F.How young is your youngest child?



# h_4g: H4G. How old is your oldest child?



# h_5: h_5 Are you currently pregnant?




1 Yes 106 4.2%

2 No 2421 95.8%


-

# h_5: h_5 Are you currently pregnant?


98 Don't know 0


# h_6: h_6 Weight in kilograms

Information [Type= continuous] [Format=numeric] [Range= 28.2000007629394-98.5] [Missing=*]


# h_7: h_7 Height in centimeters



# h_8: h_8 Food made from grains, such as bread, rice, noodles, porridge




1 Yes 2521 99.8%

2 No 6 0.2%

98 Don't know 0


# h_9: h_9 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside




1 Yes 1413 55.9%

2 No 1114 44.1%

98 Don't know 0


# h_10: h_10 White potatoes, white yams, manioc, cassava, or any other foods made from r




1 Yes 365 14.4%

2 No 2162 85.6%

98 Don't know 0


# h_11: h_11 Any dark green leafy vegetables




-

# h_11: h_11 Any dark green leafy vegetables


1 Yes 1974 78.1%

2 No 553 21.9%

98 Don't know 0


# h_12: h_12 Ripe mangoes, ripe papayas




1 Yes 99 3.9%

2 No 2428 96.1%

98 Don't know 0


# h_13: h_13 Any other fruits or vegetables




1 Yes 1523 60.3%

2 No 1004 39.7%

98 Don't know 0


# h_14: h_14 Liver, kidney, heart, or other organ meats




1 Yes 340 13.5%

2 No 2187 86.5%

98 Don't know 0


# h_15: h_15 Any meat, such as beef, pork, lamb, goat, chicken, or duck




1 Yes 1771 70.1%

2 No 756 29.9%

98 Don't know 0



-

# h_16: h_16 Eggs




1 Yes 1085 42.9%

2 No 1442 57.1%

98 Don't know 0


# h_17: h_17 Fresh or dried fish, shellfish, or seafood




1 Yes 2118 83.8%

2 No 409 16.2%

98 Don't know 0


# h_18: h_18 Any foods made from beans, peas, lentils, nuts, or seeds




1 Yes 485 19.2%

2 No 2042 80.8%

98 Don't know 0


# h_19: h_19 Cheese, yogurt, or other milk products




1 Yes 347 13.7%

2 No 2180 86.3%

98 Don't know 0


# h_20: h_20 Any oil, fats, or butter, or foods made with any of these




1 Yes 1886 74.6%

2 No 641 25.4%


-

# h_20: h_20 Any oil, fats, or butter, or foods made with any of these


98 Don't know 0


# h_21: h_21 Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or b




1 Yes 1843 72.9%

2 No 684 27.1%

98 Don't know 0


# h_22: h_22 Condiments for flavor, such as chilies, spices, herbs, or fish powder




1 Yes 2435 96.4%

2 No 92 3.6%

98 Don't know 0


# h_23: h_23 Grubs, snails, or insects




1 Yes 147 5.8%

2 No 2380 94.2%

98 Don't know 0


# h_24: h_24 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce




1 Yes 71 2.8%

2 No 2456 97.2%

98 Don't know 0



-

# h_25: H25. Have you heard about the Cambodia HARVEST project?




1 Yes 1625 64.3%

2 No 896 35.5%

98 Don?t know 6 0.2%


# h_26: H26.Have you attended any nutritional training programs or nutrition




1 Yes 711 28.1%

2 No 1816 71.9%


# h_27: H27.Have you participated in any mobile kitchen, cooking demonstration




1 Yes 537 21.3%

2 No 1990 78.7%


# h_28: H28.Are you currently or were you in the last 4 years a member of an




1 Yes, currently a member 67 2.7%

2 Was a member in the past but not currently a member 226 8.9%

3 No, was never a member 2234 88.4%


# h_28a: H28A. If not currently a member or never a member, ask the reason why




1 Not interested 950 38.6%

2 No time 643 26.1%

3 Unable to raise entrance fee 17 0.7%

4 Unable to raise reoccurring fees 2 0.1%


-



5 Group meeting location not convenient 1 0.0%

6 Family dispute/unable to join 0

7 Not allowed because of sex 2 0.1%

8 Not allowed because of other reason 57 2.3%

9 Cheat/no trust 2 0.1%

10 No programme 779 31.7%



# h_29: H29. Are you currently or were you in the last 4 years a member of an




1 Yes, currently a member 390 15.4%

2 Was a member in the past but not currently a member 256 10.1%

3 No, was never a member 1881 74.4%






1 Not interested 832 38.9%

2 No time 370 17.3%

3 Unable to raise entrance fee 216 10.1%

4 Unable to raise reoccurring fees 164 7.7%

5 Group meeting location not convenient 0

6 Family dispute/unable to join 1 0.0%

7 Not allowed because of sex 0

8 Not allowed because of other reason 53 2.5%

9 Cheat/no trust 64 3.0%

10 No programme 427 20.0%



# h_30: H30. Have you participated in any training on home gardening, school




1 Yes 920 36.4%

2 No 1607 63.6%


-

# h_30: H30. Have you participated in any training on home gardening, school



# h_31: H31. Have you received Moringa seedlings from anyone in the last 4 yeears




1 Yes 650 25.7%

2 No 1877 74.3%


# h_32: H32. Do you use mobile phone to access information related to farming




1 Yes 81 3.2%

2 No 2446 96.8%


# h_33: H33. Do you use mobile phone to access information related to health




1 Yes 102 4.0%

2 No 2425 96.0%


# h_34: H34. What is the farthest you have ever travelled?




0 Never left this village; 119 4.7%

1 A village/town in this district; 122 4.8%

2 A village/town in a neighboring district; 398 15.7%

3 Another province within Cambodia 1548 61.3%

4 Another country in Asia; 340 13.5%

5 US/Canada/Australia/Europe; 0

9 Other (specify) 0



-

# h_35: H35. Do you have a bank account either jointly or individually in you




1 Yes, jointly 43 1.7%

2 Yes, individually 178 7.0%

3 No 2306 91.3%


# h_36: H36. In the past 7 days, how many times did you eat cooked food outside




0 1760 69.6%

1 245 9.7%

2 277 11.0%

3 95 3.8%

4 42 1.7%

5 27 1.1%

6 45 1.8%

7 35 1.4%

8 1 0.0%


# h_37: H37. Are you the main female decision maker in this household?




1 Yes 1474 58.3%

2 No 1053 41.7%


# h_38a: H38A. Getting inputs for agricultural production (your own personal a




1 Not at all 28 1.9%

2 Small extent 168 11.4%

3 Medium extent 920 62.4%

4 To a high extent 343 23.3%

99 Not applicable 15 1.0%


-

File : harvest_module_h_2016# h_38b: H38B. Types of crops to grow for agricultural production (your own pe










-

# h_38c: H38C. Making decisions on selling agricultural produce (or not) (your










# h_38d: H38D. Decision on how to use your own wage or salary employment income




1 Not at all 4 0.3%






# h_38e: H38E. Major household expenditures (such as large appliance for house




1 Not at all 4 0.3%




99 Not applicable 0


# h_38f: H38F. Minor household expenditures (such as food for daily consumption




1 Not at all 1 0.1%




99 Not applicable 0


-

# h_39: H39. How satisfied are you with your available time for leisure activity




1 406 16.1%

2 299 11.8%

3 306 12.1%

4 169 6.7%

5 643 25.4%

6 166 6.6%

7 173 6.8%

8 144 5.7%

9 46 1.8%

10 175 6.9%


# h_40: H40. Are you the main or one of the principal food preparer in this house




1 Main food preparer 1497 59.2%

2 Secondary food preparer 897 35.5%

3 Not a food preparer 133 5.3%


# h_41: H41. Are you the child caretaker in this household?




1 Yes 915 36.2%

2 No or no child in this HH 1612 63.8%


# h_42_1: H42. After defecation_When do you wash your hands?





# h_42_2: H42.2 After cleaning babies? bottom_When do you wash your hands?




2 461 100.0%

-

# h_42_2: H42.2 After cleaning babies? bottom_When do you wash your hands?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# h_42_3: H42.3 Before food preparation_When do you wash your hands?





# h_42_4: H42.4 Before eating_When do you wash your hands?





# h_42_5: H42.5 Before feeding a child_When do you wash your hands?





# h_43_1: H43.1 Uses water_Would you explain and show me what you do when you





# h_43_2: H43.2 Uses soap or ash_Would you explain and show me what you do whe





# h_43_3: H43.3 Washes both hands_Would you explain and show me what you do wh





# h_43_4: H43.4 Rubs hands together at least three times_Would you explain and



-

# h_43_4: H43.4 Rubs hands together at least three times_Would you explain and



# h_43_5: H43.5 Dries hands hygienically-by air drying or using a clean cloth_





# h_44_1: H44.1 Fish_Scale of 0 to 10, where 0= Without any nutritional value



# h_44_2: H44.2 Coca cola or similar type soda_Scale of 0 to 10, where 0= With



# h_44_3: H44.3 Vegetables (any kind)_Scale of 0 to 10, where 0= Without any n



# h_44_4: H44.4 Fresh fruits (any kind)_Scale of 0 to 10, where 0= Without any



# h_44_5: H44.5 Rice_Scale of 0 to 10, where 0= Without any nutritional value



# h_44_6: H44.6 Milk_Scale of 0 to 10, where 0= Without any nutritional value



# h_44_7: H44.7 Moringa leaves_Scale of 0 to 10, where 0= Without any nutrition



# h_45: H45. Do you own or manage a home garden plot?




1 Yes 1529 63.3%

2 No 885 36.7%


# h_46: H46. Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)


- 100 -

# h_46: H46. Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)



1 Yes 1613 95.3%

2 No 79 4.7%


# h_46_2: H46.2 Have you heard about Bor bor Kab Kroup Kroeung (enriched porridge)




1 Yes 451 94.7%

2 No 25 5.3%






1 Yes 200 90.9%

2 No 20 9.1%






1 Yes 23 92.0%

2 No 2 8.0%






1 Yes 1 100.0%

2 No 0


# h_47: H47. Have you ever made borbor for your child?



-

# h_47: H47. Have you ever made borbor for your child?


1 Yes 586 36.3%

2 No 1027 63.7%


# h_47_2: H47.2 Have you ever made borbor for your child?




1 Yes 124 27.5%

2 No 327 72.5%






1 Yes 52 26.0%

2 No 148 74.0%






1 Yes 9 39.1%

2 No 14 60.9%






1 Yes 0

2 No 1 100.0%


# h_48: H48. If no, why not?




1 No time 161 15.7%

-

# h_48: H48. If no, why not?


2 No ingredients 60 5.8%

3 No need to make special food for child ?they should eat what adults 60 5.8%eat

4 Child does not like the taste 81 7.9%

5 Can not do 363 35.3%

6 Other, specify 30 2.9%

7 No children in home/baby is too small and can't eat 272 26.5%


# h_48_2: H48.2 If no, why not?

Information

Statistics [NW/ W]

[Type= discrete] [Format=numeric] [Range= 1-7] [Missing=*]

[Valid=327 /-] [Invalid=2400 /-]


1 No time 43 13.1%




5 Can not do 97 29.7%




# h_48_3: H48.3 If no, why not?




1 No time 12 8.1%




5 Can not do 54 36.5%




# h_48_4: H48.4 If no, why not?




1 No time 4 28.6%

2 No ingredients 0

-

# h_48_4: H48.4 If no, why not?


3 No need to make special food for child ?they should eat what adults 0eat

4 Child does not like the taste 0

5 Can not do 7 50.0%




# h_48_5: H48.5 If no, why not?




1 No time 0

2 No ingredients 0

3 No need to make special food for child ? eat

they should eat what adults 0

4 Child does not like the taste 0

5 Can not do 1 100.0%

6 Other, specify 0

7 No children in home/baby is too small and can't eat 0


# h_49: H49. Do you know about the three food groups?




1 Yes 842 34.9%

2 No 1572 65.1%


# h_50_1: H50.1. Foods for energy_Can you name the three types of food groups?





# h_50_2: H50.2 Foods for body growth_Can you name the three types of food groups





-

# h_50_3: H50.3 Foods for immune system_Can you name the three types of food groups





# h_51: H51. Foods for energy: cereals, tuber, root, potatoes, taro, rice, n




1 Yes, all the time 1695 70.2%

2 Yes, sometimes/ occasionally 672 27.8%

3 No or rarely 47 1.9%


# h_52: H52. How many meals should adults eat per day?




1 1 0.0%

2 72 3.0%

3 2314 95.9%

4 27 1.1%


# h_53_11: H53.11 Have you seen this before today?















-






14 1889 100.0%

-






15 1902 100.0%

File : harvest_module_i_2016

-




# i0: i0 Items




1 Child 1 909 84.6%

2 Child 2 153 14.2%

3 Child 3 12 1.1%

4 Child 4 1 0.1%

5 Child 5 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# i_1: i_1 CAREGIVER’S ID CODE FROM THE HOUSEHOLD ROSTER




1 69 6.4%

2 679 63.2%

3 136 12.7%

4 103 9.6%

5 35 3.3%

6 7 0.7%

7 22 2.0%

8 10 0.9%

9 7 0.7%

10 5 0.5%


# i_2: i_2 CHILD’S ID CODE FROM THE HOUSEHOLD ROSTER




2 1 0.1%

3 83 7.7%

4 223 20.7%

5 228 21.2%

6 182 16.9%

7 130 12.1%

8 91 8.5%

9 60 5.6%

10 44 4.1%

11 22 2.0%


-

# i_2: i_2 CHILD’S ID CODE FROM THE HOUSEHOLD ROSTER


12 8 0.7%

13 2 0.2%


# i_3: i_3 What is [child’s name]’s sex?




1 Male 568 52.8%

2 Female 507 47.2%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# i_4: i_4 How old was [child’s name] at [his/her] last birthday?




0 236 22.0%

1 206 19.2%

2 223 20.7%

3 198 18.4%


# i_5: i_5 How many months old is [child’s name]?



# i_6: i_6 CHECK I05. IS THE CHILD UNDER 60 MONTHS?




0 7 0.7%

1 Yes 1068 99.3%

2 No 0

98 Don't know 0

777 Absent 0Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# i_7: i_7 DOES CHILD HAVE EDEMA?




1 Yes 18 1.7%

2 No 1050 98.3%


-

# i_7: i_7 DOES CHILD HAVE EDEMA?



# i_8: i_8 Weight in kilograms:



# i_9: i_9 Height in centimeters



# i_10: i_10 CHECK QUESTION I05. IS THE CHILD UNDER 24 MONTHS OF AGE?




1 Yes 438 41.0%

2 No 630 59.0%

98 Don't know 0


# i_11: i_11 Has [child’s name] ever been breastfed?




1 Yes 1048 98.1%

2 No 20 1.9%

98 Don't know 0


# i_12: i_12 Was [child’s name] breastfed yesterday during the day or at night?




1 Yes 322 73.5%

2 No 116 26.5%

98 Don't know 0


# i_13: i_13 Did [Child’s name] consume breast milk in any of these ways yesterday durin




-

# i_13: i_13 Did [Child’s name] consume breast milk in any of these ways yesterday durin


1 Yes 17 14.7%

2 No 98 84.5%

98 Don't know 1 0.9%


# i_14: i_14 Was [child’s name] given any vitamin drops or other medicines as drops yest




1 Yes 92 21.0%

2 No 346 79.0%

98 Don't know 0


# i_15: i_15 Was [child’s name] given [local name for oral rehydration solution] yesterd




1 Yes 16 17.4%

2 No 76 82.6%

98 Don't know 0


# i_17: i_17 Plain water?




1 Yes 343 78.3%

2 No 95 21.7%

98 Don't know 0


# i_18: i_18 Infant formula such as [France Bébé, Similac and Dumex]?




1 Yes 57 13.0%

2 No 380 86.8%




-

# i_19: i_19 How many times yesterday during the day or at night did [child’s name] cons




1 2 3.5%

2 7 12.3%

3 19 33.3%

4 8 14.0%

5 7 12.3%

6 2 3.5%

7 4 7.0%

8 3 5.3%

9 2 3.5%

10 1 1.8%

12 2 3.5%

98 Don't know 0


# i_20: i_20 Did [child’s name] have any milk such as tinned, powdered, or fresh animal




1 Yes 62 14.2%

2 No 376 85.8%

98 Don't know 0






1 12 19.4%

2 15 24.2%

3 15 24.2%

4 7 11.3%

5 5 8.1%

6 5 8.1%

7 1 1.6%

9 2 3.2%

98 Don't know 0



-

# i_22: i_22 Did [child’s name] have any juice or juice drinks?




1 Yes 71 16.2%

2 No 367 83.8%

98 Don't know 0


# i_23: i_23 Clear broth?




1 Yes 129 29.5%

2 No 307 70.1%



# i_24: i_24 Yogurt?




1 Yes 8 1.8%

2 No 430 98.2%

98 Don't know 0






1 4 50.0%

2 3 37.5%

5 1 12.5%

98 Don't know 0


# i_26: i_26 Did [child’s name] have any thin porridge




1 Yes 111 25.3%


-

# i_26: i_26 Did [child’s name] have any thin porridge


2 No 327 74.7%

98 Don't know 0


# i_27: i_27 Any other liquids such as [Porridge that cooked from rice mix with vegetabl




1 Yes 161 36.8%

2 No 277 63.2%

98 Don't know 0


# i_28: i_28 Any other liquids?




1 Yes 60 13.7%

2 No 377 86.1%



# i_29: i_29 Food made from grains, such as bread, rice, noodles, porridge




1 Yes 314 71.7%

2 No 124 28.3%

98 Don't know 0


# i_30: i_30 Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange insid




1 Yes 153 34.9%

2 No 285 65.1%

98 Don't know 0



-

# i_31: i_31 White potatoes, white yams, manioc, cassava, or any other foods made from r




1 Yes 31 7.1%

2 No 407 92.9%

98 Don't know 0


# i_32: i_32 Any dark green leafy vegetables




1 Yes 193 44.1%

2 No 245 55.9%

98 Don't know 0


# i_33: i_33 Ripe mangoes, ripe papayas




1 Yes 4 0.9%

2 No 434 99.1%

98 Don't know 0


# i_34: i_34 Any other fruits or vegetables




1 Yes 120 27.4%

2 No 318 72.6%

98 Don't know 0


# i_35: i_35 Liver, kidney, heart, or other organ meats




1 Yes 25 5.7%

2 No 413 94.3%


-

# i_35: i_35 Liver, kidney, heart, or other organ meats


98 Don't know 0


# i_36: i_36 Any meat, such as beef, pork, lamb, goat, chicken, or duck




1 Yes 184 42.0%

2 No 254 58.0%

98 Don't know 0


# i_37: i_37 Eggs




1 Yes 132 30.1%

2 No 306 69.9%

98 Don't know 0


# i_38: i_38 Fresh or dried fish, shellfish, or seafood




1 Yes 209 47.7%

2 No 229 52.3%

98 Don't know 0


# i_39: i_39 Any foods made from beans, peas, lentils, nuts, or seeds




1 Yes 33 7.5%

2 No 405 92.5%

98 Don't know 0



-

# i_40: i_40 Cheese, yogurt, or other milk products




1 Yes 47 10.7%

2 No 391 89.3%

98 Don't know 0


# i_41: i_41 Any oil, fats, or butter, or foods made with any of these




1 Yes 139 31.7%

2 No 299 68.3%

98 Don't know 0


# i_42: i_42 Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or b




1 Yes 191 43.6%

2 No 247 56.4%

98 Don't know 0


# i_43: i_43 Condiments for flavor, such as chilies, spices, herbs, or fish powder




1 Yes 228 52.1%

2 No 210 47.9%

98 Don't know 0


# i_44: i_44 Grubs, snails or insects




1 Yes 4 0.9%

2 No 434 99.1%


-

# i_44: i_44 Grubs, snails or insects


98 Don't know 0


# i_45: i_45 Foods made with red palm oil, red palm nut, or red palm nut pulp sauce




1 Yes 1 0.2%

2 No 437 99.8%

98 Don't know 0


# i_46: i_46 IF ‘YES’ PROBE: What kind of solid, semi-solid, or soft foods did [child’s




1 Yes 0

2 No 121 100.0%

98 Don't know 0


# i_47: i_47 How many times did [child’s name] eat solid, semi-solid, or soft foods othe




0 1 0.3%

1 12 3.8%

2 43 13.6%

3 173 54.6%

4 58 18.3%

5 18 5.7%

6 9 2.8%

7 1 0.3%

9 1 0.3%



# i_2b: I02B.Is the caregiver noted above child?s mother?I02B_5



-

File : harvest_module_i_2016# i_2b: I02B.Is the caregiver noted above child?s mother?I02B_5


# i_2c: I02C.If no, list mother?s ID code from the Roster (Module C)




1 Yes 904 84.1%

2 No 171 15.9%

-

# i_3ad: I03AD.Day of child name birthdate



# i_3am: I03AM.Month of child name birthdate




1 105 9.8%

2 80 7.4%

3 82 7.6%

4 103 9.6%

5 81 7.5%

6 73 6.8%

7 99 9.2%

8 91 8.5%

9 92 8.6%

10 96 8.9%

11 92 8.6%


# i_3ay: I03AY.Year of child name birthdate




2011 51 4.7%

2012 228 21.2%

2013 196 18.2%

2014 219 20.4%

2015 211 19.6%


# i_6a: I06A.Tell me about [Child?s] natural mother. How many children does




1 327 30.6%

2 405 37.9%

3 188 17.6%

4 92 8.6%

5 21 2.0%

6 20 1.9%

7 4 0.4%

8 7 0.7%

9 2 0.2%

-

10 1 0.1%

-

# i_6a: I06A.Tell me about [Child?s] natural mother. How many children does


12 1 0.1%


# i_6b: I06B.What was [Child?s] birth order? For example, is she/he first born




0 1 0.1%

1 419 39.2%

2 345 32.3%

3 172 16.1%

4 78 7.3%

5 23 2.2%

6 18 1.7%

7 4 0.4%

8 4 0.4%

9 2 0.2%

10 1 0.1%

12 1 0.1%


# i_6c: I06C.How many years of formal schooling child?s natural mother has cI06C




0 No school / pre-school 100 9.4%

1 Grade 1 36 3.4%

2 Grade 2 64 6.0%

3 Grade 3 101 9.5%

4 Grade 4 108 10.1%

5 Grade 5 111 10.4%

6 Grade 6 136 12.7%

7 Grade 7 104 9.7%

8 Grade 8 97 9.1%

9 Grade 9 87 8.1%

10 Grade 10 29 2.7%

11 Grade 11 22 2.1%

12 Grade 12 53 5.0%

13 University (bachelor or higher) 11 1.0%

14 Various vocational training 0

15 Literacy class 2 0.2%

98 Don?t know 7 0.7%


-

# i_7a: I07A.Has [child] had any diarhhea in the last 2 weeks?I07A




1 Yes 194 18.2%

2 No 874 81.8%


# i_7b: I07B.Has [child] had any other illness in the last 2 weeks (E.g. fevI07B)




1 Yes 452 42.3%

2 No 616 57.7%


# i_7c: I07C.How would you rate the general health and physical growth of thI07C




1 No major concern 364 34.1%

2 I am somewhat concerned about the health and physical growth 417 39.0%

3 I am very concerned 287 26.9%


# i_7d: I07D.Is the child up to date on all the vaccinations he/she should rI07D




1 Yes 1017 95.2%

2 Has received vaccination but is not up to date 49 4.6%

3 Never received any vaccination 2 0.2%


# i_11a: I11A.Are you currently breastfeeding this child?I11A




1 Yes 337 32.2%

2 No 711 67.8%


# i_11b: I11B.Months_How old was [child] when you stopped breastfeeding?


-

# i_11b: I11B.Months_How old was [child] when you stopped breastfeeding?


# i_11c: I11C.Months_At what age did you first start giving [child] any semi-



# i_11d: I11D.Months_At what age did you start giving snacks between meals to



# i_11e: I11E.Time_Typically, how many times a day do you give snack food to




# i_11f: I11F.Months_At what age did you start giving commercial snacks (purchase)



# i_11g: I11G.Time_Typically, how many times a day do you give purchased snacks



# i_11h: I11H.Months_At what age did you start giving commercially produced d



# i_11i: I11I.Time_Typically, how many times a day do you give such purchased





1 285 31.6%

2 272 30.2%

3 238 26.4%

4 76 8.4%

5 28 3.1%

6 2 0.2%

Sysmiss 174


1 540 65.0%

2 212 25.5%

3 65 7.8%

4 7 0.8%

5 6 0.7%

6 1 0.1%

-

# i_28a: I28A.Any Bor Bor Kab Krop Kroeung (enriched porridge)?I28A




# i_28b: I28B.How many times yesterday during the day or at night did [child]?Information [Type= discrete] [Format=numeric] [Range= 1-4] [Missing=*]



# i_28c: I28C.Please writing down foodInformation [Type= discrete] [Format=character] [Missing=*]




1 Yes 26 5.9%

2 No 412 94.1%

98 Don?t know 0

Sysmiss 637


1 2 7.7%

2 7 26.9%

3 15 57.7%

4 2 7.7%

Sysmiss 1049


keo lam 1 50.0%

sengsitha dany 1 50.0%

File : harvest_module_j1_2016

-




# j100a: J100A How many plots does your household own and/or operate?



# j101: J101 Plot number



# j103: J103 What type of plot is this?




1 Residential 2457 26.9%

2 Agricultural 6668 73.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j103a: J103A Who is the main decision maker on the use of this plot? [Use the member ID




1 6931 76.0%

2 1935 21.2%

3 107 1.2%

4 83 0.9%

5 45 0.5%

6 10 0.1%

7 5 0.1%

8 2 0.0%


# j104: J104 What is the tenancy status of this plot?




1 Owner operated 8152 89.3%

2 Rented in (cash) 466 5.1%

3 Sharecropped in 41 0.4%

4 Borrowed (no payment) 188 2.1%

5 Rented out (cash) 186 2.0%

6 Sharecropped out 39 0.4%

7 Lending out (no payment) 53 0.6%

8 Other (specify) 0


-

# j104: J104 What is the tenancy status of this plot?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j104a: J104A How was this parcel acquired?




1 Given by the government or local authority 1926 21.1%

2 By inheritance or gift from relatives 3918 42.9%

3 Bought it from a relative 584 6.4%

4 Bought it from a non-relative 1793 19.6%

5 Cleared land/occupied for free 207 2.3%

6 Donated by friend 0

7 Rented in or borrowed (not acquired by me) 695 7.6%

9 Other (specify) 2 0.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j105: J105 If rented, how much did you pay for this plot last season? (0000 Riels)



# j106: J106 Size of plot area as reported



# j107: J107 Unit of plot size




1 Square meter 2048 22.4%

2 Acre 1890 20.7%

3 Kong 195 2.1%

4 Rai 189 2.1%

5 Hectar 4803 52.6%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j108: J108 Was this field cultivated in the last WET SEASON?




1 Yes 7481 82.0%


# j109a: J109A 1st Crops cultivated in the last WET SEASON




-

# j109a: J109A 1st Crops cultivated in the last WET SEASON


0 N/A 0

1 Wet Rice (harvested Oct 2015-Jan 2016) 5390 72.0%

2 Dry Rice (harvested Dec 2015-March.2016) 0

3 Vegetables 1255 16.8%

4 Other crops 605 8.1%

5 Early wet rice (harvested March- June 2016) 231 3.1%


# j109b: J109B 2nd Crops cultivated in the last WET SEASON




0 N/A 0







# j109c: J109C 3rd Crops cultivated in the last WET SEASON




0 N/A 0







# j110: J110 Was this field cultivated in the last DRY SEASON?




1 Yes 2136 23.4%


# j111a: J111A 1st Crops cultivated in the last DRY SEASON.



-

# j111a: J111A 1st Crops cultivated in the last DRY SEASON.



0 N/A 0

1 Wet Rice (harvested Oct 2015-Jan 2016) 0

2 Dry Rice (harvested Dec 2015-March.2016) 506 23.7%



5 Early wet rice (harvested March- June 2016) 0


# j111b: J111B 2nd Crops cultivated in the last DRY SEASON.




0 N/A 0







# j111c: J111C 3rd Crops cultivated in the last DRY SEASON.




0 N/A 0




4 Other crops 0

5 Early wet rice (harvested March- June 2016) 0


# nparcels: # of parcels per household



# area_ha: plot area in hectares



# wplots: # of wet season rice plots per household



# dplots: # of dry season rice plots per household





-


0 3105 34.0%

1 3838 42.1%

2 1306 14.3%

3 470 5.2%

4 261 2.9%

5 88 1.0%

6 39 0.4%

7 9 0.1%

8 9 0.1%

File : harvest_module_j2a_2016

-

# a01: household id



# j2a01: j2a01_ plot #



# j2a02: j2a02_ cultivated area (ha)



# j2a03: j2a03_ harvested area (ha)



# j2a04: j2a04_ did you use improved rice seed variety?




1 yes 3678 60.3%

2 no 2418 39.7%


# j2a05: j2a05_ is this wet rice broadcast or transplanted?




1 broadcast 5073 83.2%

2 transplanted 998 16.4%

3 both 25 0.4%


# j2a06: j2a06_ what is the source of the seed used in the wet season?




1 own 5033 82.6%

2 purchased from dealer 507 8.3%

3 purchased from farmer 506 8.3%

4 provided free by harvest program 20 0.3%

5 provided free by an ngo or a government program 12 0.2%

6 provided free by a friend, neighbor or family 6 0.1%

7 a combination of own and purchased 10 0.2%

8 a combination of own and provided free 2 0.0%

File : harvest_module_j2a_2016

-

# j2a06: j2a06_ what is the source of the seed used in the wet season?


9 a combination of purchased and provided free 0


# j2a07: j2a07_ if purchased, in total how much did you pay for it? (0000 riels)



# j2a08: j2a08_ what quantity of seed did you plant? (kg)



# j2a09: j2a09_ did you use fertilizer on this plot?




1 yes 4922 80.7%

2 no (skip to j2a17) 1174 19.3%


# j2a10: j2a10_ what type of fertilizer did you use?




1 basal 659 13.4%

2 top dressing 2173 44.1%

3 both 2090 42.5%


# j2a11: j2a11_ how much did you use? (kg)



# j2a12: j2a12_ what is the source?




1 own 3 0.1%





6 provided free by a friend, neighbor or family 0

-

File : harvest_module_j2a_2016# j2a12: j2a12_ what is the source?


7 a combination of own and purchased 0

8 a combination of own and provided free 0



# j2a13: j2a13_ if purchased, how much did you pay? (0000 riels)



# j2a14: j2a14_ how much did you use? (kg)







# j2a16: j2a16_ if purchased, how much did you pay? (0000 riels)



# j2a17: j2a17_ did you use pesticides on this plot?




# j2a18: j2a18_ amount of pesticides




1 own 26 0.6%









Sysmiss 3856


1 yes 3114 51.1%

2 no (skip to j2a22) 2982 48.9%

Sysmiss 2025

-

# j2a19: j2a19_ type of unit of pesticides




1 litres 3114 100.0%






1 own 13 0.4%



4 provided free by harvest program 0

5 provided free by an ngo or a government program 0






# j2a21: j2a21_ if purchased, how much did you pay in total? (0000 riels)



# j2a22: j2a22_ did you hire any labour to work on this plot?




1 yes 1859 30.5%

2 no (skip to j2a31) 4237 69.5%


# j2a23: j2a23_ land preparation; canal cleaning/repair_# of workers



# j2a24: j2a24_ land preparation; canal cleaning/repair_amount paid (0000 riels)



# j2a25: j2a25_ planting_# of workers


-

File : harvest_module_j2a_2016# j2a25: j2a25_ planting_# of workers


# j2a26: j2a26_ planting_amount paid (0000 riels)



# j2a27: j2a27_ weeding_# of workers



# j2a28: j2a28_ weeding_amount paid (0000 riels)



# j2a29: j2a29_ harvesting_# of workers



# j2a30: j2a30_ harvesting_amount paid (0000 riels)



# j2a31: j2a31_ did you use any other inputs (oil, diesel, water, etc) or rented




# j2a32: j2a32_ if used other inputs, how much money did you spend in total in th



# j2a33: j2a33_ how much wet season paddy rice did you harvest? (k)g




1 yes 5932 97.3%

2 no (skip to j2a33) 164 2.7%

File : harvest_module_j2b_2016

-

# a01: household id



# j2b01: j2b01_ plot #



# j2b02: j2b02_ cultivated area (ha)



# j2b03: j2b03_ harvested area (ha)



# j2b04: j2b04_ did you use improved rice seed variety?




1 yes 441 87.2%

2 no 65 12.8%


# j2b05: j2b05_ is this wet rice broadcast or transplanted?




1 broadcast 504 99.6%

2 transplanted 2 0.4%

3 both 0


# j2b06: j2b06_ what is the source of the seed used in the wet season?




1 own 282 55.7%






7 a combination of own and purchased 3 0.6%


File : harvest_module_j2b_2016

-

# j2b06: j2b06_ what is the source of the seed used in the wet season?




# j2b07: j2b07_ if purchased, in total how much did you pay for it? (0000 riels)



# j2b08: j2b08_ what quantity of seed did you plant? (kg)



# j2b09: j2b09_ did you use fertilizer on this plot?




1 yes 463 91.5%

2 no (skip to j2b17) 43 8.5%


# j2b10: j2b10_ what type of fertilizer did you use?




1 basal 20 4.3%

2 top dressing 324 70.0%

3 both 119 25.7%


# j2b11: j2b11_ how much did you use? (kg)



# j2b12: j2b12_ what is the source?




1 own 3 2.2%






-

File : harvest_module_j2b_2016# j2b12: j2b12_ what is the source?






# j2b13: j2b13_ if purchased, how much did you pay? (0000 riels)



# j2b14: j2b14_ how much did you use? (kg)







# j2b16: j2b16_ if purchased, how much did you pay? (0000 riels)



# j2b17: j2b17_ did you use pesticides on this plot?




# j2b18: j2b18_ amount of pesticides




1 own 3 0.7%









Sysmiss 356


1 yes 463 91.5%

2 no (skip to j2b22) 43 8.5%

Sysmiss 293

-

# j2b19: j2b19_ type of unit of pesticides




1 litres 463 100.0%






1 own 6 1.3%










# j2b21: j2b21_ if purchased, how much did you pay in total? (0000 riels)



# j2b22: j2b22_ did you hire any labour to work on this plot?




1 yes 57 11.3%

2 no (skip to j2b31) 449 88.7%


# j2b23: j2b23_ land preparation; canal cleaning/repair_# of workers




0 346 98.9%

5 2 0.6%

14 2 0.6%


-

# j2b24: j2b24_ land preparation; canal cleaning/repair_amount paid (0000 riels)



# j2b25: j2b25_ planting_# of workers




0 318 90.9%

1 14 4.0%

2 4 1.1%

3 3 0.9%

4 2 0.6%

5 5 1.4%

9 1 0.3%

10 1 0.3%

12 1 0.3%

13 1 0.3%


# j2b26: j2b26_ planting_amount paid (0000 riels)



# j2b27: j2b27_ weeding_# of workers



# j2b28: j2b28_ weeding_amount paid (0000 riels)



# j2b29: j2b29_ harvesting_# of workers



# j2b30: j2b30_ harvesting_amount paid (0000 riels)



# j2b31: j2b31_ did you use any other inputs (oil, diesel, water, etc) or rented




1 yes 506 100.0%

2 no (skip to j2b33) 0

Sysmiss 293

-

File : harvest_module_j2b_2016# j2b31: j2b31_ did you use any other inputs (oil, diesel, water, etc) or rentedWarning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# j2b32: j2b32_ if used other inputs, how much money did you spend in total in th



# j2b33: j2b33_ how much wet season paddy rice did you harvest? (k)g



File : harvest_module_j2c_2016

-




# j2c01: j2c01 items




1 WET SEASON RICE 2328 25.0%

2 EARLY WET SEASON RICE 2324 25.0%

3 DRY SEASON RICE 2324 25.0%


# j2c02: j2c02 Did you sell [RICE TYPE] in the past 12 months?




1 Yes 1684 24.1%

2 No (Skip to next rice type) 5292 75.9%


# j2c03a: j2c03a How much [RICE TYPE] did you sell?_ Amount



# j2c03b_1: j2c03b How much [RICE TYPE] did you sell?_Month of selling rice




1 January 297 17.7%

2 February 167 9.9%

3 March 114 6.8%

4 April 40 2.4%

5 May 44 2.6%

6 June 19 1.1%

7 July 37 2.2%

8 August 70 4.2%

9 September 150 8.9%

10 October 64 3.8%

11 November 338 20.1%

12 December 340 20.2%


File : harvest_module_j2c_2016

-





1 January 22 13.6%

2 February 22 13.6%

3 March 26 16.0%

4 April 15 9.3%

5 May 23 14.2%

6 June 8 4.9%

7 July 12 7.4%

8 August 9 5.6%

9 September 7 4.3%

10 October 4 2.5%

11 November 5 3.1%

12 December 9 5.6%






1 January 1 2.3%

2 February 5 11.4%

3 March 5 11.4%

4 April 7 15.9%

5 May 4 9.1%

6 June 10 22.7%

7 July 2 4.5%

8 August 5 11.4%

9 September 4 9.1%

10 October 0

11 November 0

12 December 1 2.3%






1 January 1 7.1%

2 February 0

3 March 3 21.4%

-

File : harvest_module_j2c_2016# j2c03b_4: j2c03b How much [RICE TYPE] did you sell?_Month of selling rice


4 April 2 14.3%

5 May 2 14.3%

6 June 1 7.1%

7 July 3 21.4%

8 August 0

9 September 1 7.1%

10 October 1 7.1%

11 November 0

12 December 0






1 January 0

2 February 0

3 March 0

4 April 2 66.7%

5 May 0

6 June 1 33.3%

7 July 0

8 August 0

9 September 0

10 October 0

11 November 0

12 December 0


# j2c03c: j2c03c How much [RICE TYPE] did you sell?_Unit price



# j2c04: j2c04 How much did you get in total from sales of [RICE TYPE]? ('0000 Riels)



-

File : harvest_module_j3a_2016# a01: a01 household id



# j3a01: j3a01 items




# j3a02: j3a02 Did you grow [VEGETABLE TYPE] in the last 12 months?





1 Cabbage 2327 3.8%

2 Water convolvulus 2327 3.8%

3 Lotus 2327 3.8%

4 Garlic 2327 3.8%

5 Aromatic edible herbs 2327 3.8%

6 Tomato 2327 3.8%

7 Eggplant 2327 3.8%

8 Wax gourd 2327 3.8%

9 Large smooth fibrous type of gourd 2327 3.8%

10 Bitter gourd 2327 3.8%

11 Cucumber 2327 3.8%

12 Pumpkin 2327 3.8%

13 Lettuce 2327 3.8%

14 Radish 2327 3.8%

15 Long green beans 2327 3.8%

16 French beans 2327 3.8%

17 Taro 2327 3.8%

18 Green/sweet pepper 2327 3.8%

19 Mushroom 2327 3.8%

20 Amaranth 2327 3.8%

21 Water hyacinth flowers 2327 3.8%

22 Water mimosa 2327 3.8%

23 Cratavea plant 2327 3.8%

24 Chinese Kale flower 2327 3.8%

25 Chinese Kale leaf 2327 3.8%

9999 2327 3.8%


1 Yes 5779 9.9%

2 No (skip to next [VEGETABLE TYPE]) 52396 90.1%

Sysmiss 2327

-

File : harvest_module_j3a_2016# j3a03: j3a03 Was this [VEGETABLE TYPE] grown in a home garden?




1 Yes 5048 87.4%

2 No 731 12.6%


# j3a04a: j3a04a What was the total area planted with [VEGETABLE TYPE]?_Area(as reported)



# j3a04b: j3a04b What was the total area planted with [VEGETABLE TYPE]?_Area




1 m2 = 0.0001 ha 5389 93.3%

2 Ar = 0.01 ha 74 1.3%

3 Kong=0.09ha 9 0.2%

4 Rai = 0.16 ha 18 0.3%

5 ha 289 5.0%


# j3a05: j3a05 Quantity Produced of [VEGETABLE TYPE]?_Quantity(Kg)



# j3a06: j3a06 Quantity Produced of [VEGETABLE TYPE]?_Type of unit (Riel/Kg)



# j3a07: j3a07 Did you sell [VEGETABLE TYPE] in the last 12 months?




1 Yes 3075 53.2%

2 No(skip to Next Type) 2704 46.8%


# j3a08: j3a08 How much did you get in total from sales of [VEGETABLE TYPE]? (0000 Riels)



# area_veg: vegetable plot area (ha)

Information [Type= continuous] [Format=numeric] [Range= 9.99999974737875e-05-0.565259754657745] [Missing=*]

-

File : harvest_module_j3a_2016# area_veg: vegetable plot area (ha)


-

File : harvest_module_j3b_2016# a01: a01 household id



# j3b01: j3b01 items




# j3b02: j3b02 Did you use [INPUT TYPE] in vegetable production in the last 12 months?




# j3b03: j3b03 Did you purchase or pay for this [Input Type]?




# j3b04: j3b04 How much did you pay for the total quantity purchased? ('0000 Riels)




1 Seeds/Seedlings 1613 7.7%

2 Chemical fertilizer 1613 7.7%

3 Pesticide 1613 7.7%

4 Oil/gas/gasoline/diesel 1613 7.7%

5 Rental of pump machine 1613 7.7%

6 Rental of land 1613 7.7%

7 Hired Labor 1613 7.7%

8 Packaging Materials 1613 7.7%

9 Transportation 1613 7.7%




9999 1613 7.7%


1 Yes 3819 19.7%


Sysmiss 1613


1 Yes 3314 86.8%


Sysmiss 17150

-

File : harvest_module_j4_2016# a01: a01 household id



# j401: j401 code




101 101_ Paddy of dry season 0

102 102_ Paddy of wet season 0

103 103_ Sticky paddy 0

104 104_ Maize (corn) 261 5.5%

105 105_ Other cereals harvested for grain 1 0.0%

201 201_ Potato 13 0.3%

202 202_ Sweet potato 12 0.3%

203 203_ Cassava 88 1.8%

204 204_ Dry onion 0

205 205_ Dry garlic, white 0

206 206_ Dry garlic, red 0

208 208_ Jampada 0

209 209_ Other tubers, root and bulk crops 34 0.7%

301 301_ Cowpea 2 0.0%

302 302_ Mung bean 14 0.3%

303 303_ Other leguminous plaints for grain 0

401 401_ Sugar cane 60 1.3%

411 411_ Groundnut (peanut) 1 0.0%

412 412_ Soybean 0

413 413_ Sesame 0

414 414_ Castor bean 0

415 415_ Sunflower 0

416 416_ Cottonseed 0

417 417_ Other oilseed crops 1 0.0%

421 421_ Dry chillies 0

422 422_ Dry peppers 0

423 423_ Caraway 3 0.1%

424 424_ Mint 0

426 426_ Coriander 0

427 427_ Sweet basil 0

428 428_ Sorghum 0

429 429_ Betel leaf 16 0.3%

430 430_ Other spices 4 0.1%

441 441_ Cotton 0

442 442_ Jute 0

443 443_ Kapok 0

444 444_ Nettle plant 0

-

File : harvest_module_j4_2016# j401: j401 code


445 445_ Other fibre crops 0

451 451_ Tobacco, strong 0

452 452_ Tobacco, light 0

453 453_ Other industrial crops 1 0.0%

501 501_ Trakun 0

503 503_ Lettuce 0

504 504_ Leek 0

505 505_ Celery 0

506 506_ Mustard green 0

507 507_ Water lily 1 0.0%

508 508_ Spinach 0

509 509_ Cress 0

510 510_ Chinese Kale 0

511 511_ Other leafy or stem vegetables 11 0.2%

521 521_ Chilli (fresh) 21 0.4%

524 524_ Gourd 9 0.2%

526 526_ Green gourd 0

529 529_ Bitter melon 0

530 530_ Wing bean 4 0.1%

531 531_ Other fruitbearing vegetables 2 0.0%

542 542_ Suger beet 0

543 543_ Scallion 0

545 545_ Turnip 0

546 546_ Shallot 0

547 547_ Other root, bulb and tuberous vegetables 2 0.0%

551 551_ Peas 0

553 553_ Other leguminous harvested green 2 0.0%

561 561_ Cauliflower and broccoli 0

562 562_ Corn (sweet) 1 0.0%

564 564_ Other vegetables 1 0.0%

602 602_ Other hotricultural 2 0.0%

701 701_ Fodder Crops 1 0.0%

801 801_ Oranges 139 2.9%

802 802_ Tangerines 0

803 803_ Grapefruit and pomelo 36 0.8%

804 804_ Lime/Lemon 109 2.3%

805 805_ Other citrus fruits 14 0.3%

811 811_ Banana 608 12.7%

812 812_ Custard apple 75 1.6%

813 813_ Guava 34 0.7%

814 814_ Longan 25 0.5%

815 815_ Mango 616 12.9%

816 816_ Papaya 210 4.4%

-



817 817_ Pineapple 40 0.8%

818 818_ Wood apple 13 0.3%

819 819_ Jackfruit 92 1.9%

820 820_ Pomegranate 5 0.1%

821 821_ Sapodilla/chico 22 0.5%

822 822_ Rambutan 1 0.0%

823 823_ Mangosten 1 0.0%

824 824_ Durian 0

825 825_ Milk fruit 32 0.7%

826 826_ Lotus fruit 0

827 827_ Watermelon 39 0.8%

828 828_ Rose apple 2 0.0%

829 829_ Marian plum 0

830 830_ Hog plum 15 0.3%

831 831_ Jambolen plum 4 0.1%

832 832_ Small bell 13 0.3%

833 833_ Other cultivated fruits 42 0.9%

841 841_ Cashew 83 1.7%

842 842_ Betel nuts 24 0.5%

844 844_ Other edible nuts 1 0.0%

901 901_ Coffee 0

902 902_ Tea 0

903 903_ Cocoa (cacao) 0

904 904_ Other beverage crops 0

911 911_ Coconut 410 8.6%

912 912_ Oil palm 0

913 913_ Other oil crops 0

921 921_ Ginger 0

922 922_ Black pepper 0

923 923_ Clover 0

924 924_ Lemon grass 26 0.5%

925 925_ Saffron 6 0.1%

926 926_ Krasang 6 0.1%

927 927_ Tamarind 9 0.2%

928 928_ Other spices and aromatic crops 4 0.1%

941 941_ Rubber 0

942 942_ Other rubber and tanning crops 0

951 951_ Roses 0

952 952_ Jasmine 0

953 953_ Tuberose flower 8 0.2%

954 954_ Orchid 0

955 955_ Lotus flower 0

956 956_ Other flower crops 1 0.0%

-



997 997_ Other crop not classified elsewhere 20 0.4%

998 998_ Respondent don't know the crop 0


# j402: j402 did you grow [crop] the last 12 months?




# j403a: j403a how much did you produce of [crop]?_quantity (kg)



# j403b: j403b how much did you produce of [crop]?_unit (riel/kg)



# j404: j404 did you sell [crop] this past season?




# j405: j405 how much did you get in total from sales of [crop]? (0000 riels)




1 yes 3353 100.0%

2 no (skip to next type) 0

Sysmiss 1422


1 yes 1546 46.1%

2 no (skip to next type) 1805 53.9%

Sysmiss 1424

-

File : harvest_module_k1ab_2016# a01: a01 household id



# k1a: k1a Does this household raise fish?




1 yes 79 3.4%

2 no 2247 96.6%


# k1b: k1b Have you had any harvest?




1 yes 58 72.5%

2 no 22 27.5%


# k1a1: K1A1 If yes, how many fish ponds does this household own?




1 62 77.5%

2 14 17.5%

3 1 1.2%

4 1 1.2%

5 1 1.2%

6 1 1.2%


# nponds: # of ponds




0 2248 96.6%

1 62 2.7%

2 14 0.6%

3 1 0.0%

4 1 0.0%

5 1 0.0%

6 1 0.0%

-

File : harvest_module_k1ab_2016# nponds: # of pondsWarning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# ponds_m2: pond size in m2



# ponds_ha: pond size in hectares



File : harvest_module_k2_2016

-




# k201: K201 Fish species and Codes




1 Climbing Perch 8 5.9%

2 Silver Barb 2 1.5%

3 Indian Carp 1 0.7%

4 Walking Catfish 16 11.8%

5 Common Carp 1 0.7%

6 Silver Carp 1 0.7%

7 Nile Tilapia 22 16.2%

8 Giant Gourami 0

9 Pangasius Catfish 22 16.2%

10 Others (Specify) 5 3.7%

9999 Total 58 42.6%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# k202a: K202A Quantity in Kg_How much did you produce of [FISH SPECIES]?



# k202b: K202B Unit(Riel/Kg)_How much did you produce of [FISH SPECIES]?



# k203: K203 Did you sell any [FISH SPECIES] during the last production cycle?




1 Yes 66 84.6%

2 No 12 15.4%


# k204: K204 How much did you get in total from sales of [FISH SPECIES]? ('0000 Riels)



File : harvest_module_k3_2016

-




# k301: k301 Input Type and Code




1 Setup cost (pond, facility, equipment, etc.) 58 11.1%

2 Cost of fingerlings 58 11.1%

3 Cost of feeds 58 11.1%

4 Transportation cost 58 11.1%

5 Cost of technical services 58 11.1%

6 Cost of maintenance of the facilities and equipment 58 11.1%

7 Labor 58 11.1%



# k302: k302 Did you use [INPUT TYPE] in fish production during the last production cycl




1 yes 154 33.2%

2 no 310 66.8%


# k303: k303 What is the source?




1 Own 35 22.7%

2 Purchased from dealer 79 51.3%

3 Purchased from farmer 8 5.2%

4 Provided free by HARVEST program 16 10.4%

5 Provided free by an NGO or a government program 8 5.2%

6 Provided free by a friend, neighbor or family 0

7 A combination of own and purchased 0

8 A combination of own and provided free 1 0.6%

9 A combination of purchased and provided free 7 4.5%


# k304: k304 If purchased, how much did you pay in the total?



File : harvest_module_l1_2016

-




# l101: l101 items




1 Disease and pest control for rice 2328 5.6%

2 Row planting 2328 5.6%

3 Improved rice varieties 2328 5.6%

4 Rice seed selection 2328 5.6%

5 Chemical fertilizer application 2328 5.6%

6 Composting/organic residue management 2328 5.6%

7 Irrigation management 2328 5.6%

8 Water management for rice 2328 5.6%

9 Drying at post-harvest 2328 5.6%

10 Storage facilities 2328 5.6%

11 Pest control for post-harvest 2328 5.6%

12 Advice on output prices 2328 5.6%

13 Advise on input prices 2328 5.6%

14 Collective marketing/group sale 2328 5.6%

15 Information where to sell 2328 5.6%

16 Credit from local Bank, Micro-Finance, or Savings Groups 2328 5.6%

17 2328 5.6%


# l102: l102 Did you receive any extension assistance or advisory service related to [TY




1 yes 7938 20.1%

2 no 31638 79.9%


# l103_1: l103 What was the media? Check the most important one.




1 In person 7198 90.7%

2 TV 449 5.7%

3 Radio 283 3.6%

4 Phone 0

5 Billboards 8 0.1%


-








1 In person 22 10.5%

2 TV 101 48.1%

3 Radio 85 40.5%

4 Phone 0

5 Billboards 2 1.0%






1 In person 4 80.0%

2 TV 0

3 Radio 1 20.0%

4 Phone 0

5 Billboards 0


# l104_1: l104 Who provided the extension service/advice?




1 Neighbours 2043 28.2%

2 Local authority 88 1.2%

3 NGOs 2997 41.4%

4 Friends 346 4.8%

5 HARVEST program 441 6.1%

6 Trader 972 13.4%

7 Provincial Department of Agriculture 257 3.5%

8 Self-study 95 1.3%

9 Others 4 0.1%





-






3 NGOs 31 36.9%

4 Friends 5 6.0%


6 Trader 16 19.0%


8 Self-study 0

9 Others 0


# l105: l105 Did you pay for the service?




1 yes 1 0.0%

2 no 7242 100.0%


# l106: l106 If so, how much did you pay? (0000 Riels)




0 2327 99.9%

5 2 0.1%


# l107: l107 After receiving the advice, did you follow it or adopted the practices?




1 yes 4319 54.4%

2 no 3619 45.6%



-




# l201: l201 items




1 Disease and pest control for vegs 2328 6.7%

2 Improved vegs varieties 2328 6.7%

3 Seed selection / production 2328 6.7%

4 Chemical fertilizer application 2328 6.7%

5 Composting/organic residue management 2328 6.7%

6 Water management for vegetables 2328 6.7%

7 Classification of products 2328 6.7%

8 Package / transportation 2328 6.7%



11 Collective marketing /group sale 2328 6.7%



14 2328 6.7%






1 yes 4017 12.3%

2 no 28575 87.7%






1 In person 3756 93.5%

2 TV 156 3.9%

3 Radio 100 2.5%

4 Phone 0

5 Billboards 5 0.1%



-





1 In person 8 6.7%

2 TV 53 44.2%

3 Radio 56 46.7%

4 Phone 0

5 Billboards 3 2.5%






1 In person 0

2 TV 1 33.3%

3 Radio 2 66.7%

4 Phone 0

5 Billboards 0








3 NGOs 1661 44.1%

4 Friends 233 6.2%


6 Trader 348 9.2%


8 Self-study 67 1.8%

9 Others 3 0.1%






1 Neighbours 2 6.7%




# l205: l205 Did you pay for the service?InformationStatistics [NW/ W]



# l206: l206 If so, how much did you pay? (0000 Riels)InformationStatistics [NW/ W]



# l207: l207 After receiving the advice, did you follow it or adopted the practices?InformationStatistics [NW/ W]




-


3 NGOs 11 36.7%

4 Friends 0


6 Trader 1 3.3%


8 Self-study 0

9 Others 0

Sysmiss 34890


1 yes 0

2 no 3767 100.0%

Sysmiss 31153


0 2328 100.0%

Sysmiss 32592


1 yes 2510 62.5%

2 no 1507 37.5%

Sysmiss 30903


-




# l301: l301 items




1 Fishery techniques 2328 8.3%

2 Pond construction 2328 8.3%

3 Pond management 2328 8.3%

4 Drying at post-harvest 2328 8.3%

5 Storage facilities 2328 8.3%



8 Collective marketing 2328 8.3%



11 2328 8.3%






1 yes 239 0.9%

2 no 25369 99.1%






1 In person 202 84.5%

2 TV 27 11.3%

3 Radio 1 0.4%

4 Phone 0

5 Billboards 9 3.8%






-



1 In person 0

2 TV 0

3 Radio 6 100.0%

4 Phone 0

5 Billboards 0







2 Local authority 0

3 NGOs 56 27.6%

4 Friends 13 6.4%


6 Trader 23 11.3%


8 Self-study 2 1.0%

9 Others 0







2 Local authority 0

3 NGOs 0

4 Friends 0

5 HARVEST program 0

6 Trader 0

7 Provincial Department of Agriculture 0

8 Self-study 0

9 Others 0







# l306: l306 If so, how much did you pay? (0000 Riels)




# l307: l307 After receiving the advice, did you follow it or adopted the practices?





-


1 yes 0

2 no 203 100.0%

Sysmiss 27733


0 2328 100.0%

Sysmiss 25608


1 yes 118 49.4%

2 no 121 50.6%

Sysmiss 27697

File : harvest_module_x1_2016

-




# x1_01: X1.01 Cambodia Harvest_You heard about this organizations / programs / concepts




1 Yes 1852 79.6%


# x1_02: X1.02 USAID_You heard about this organizations / programs / concepts




1 Yes 604 25.9%


# x1_03: X1.03 Fintrac_You heard about this organizations / programs / concepts




1 Yes 58 2.5%


# x1_04: X1.04 Climate change_You heard about this organizations / programs / concepts




1 Yes 1530 65.7%


# x1_05: X1.05 Integrated Pest Management_You heard about this organizations / programs /




1 Yes 1163 50.0%


# x1_06: X1.06 Forest conservation_You heard about this organizations/programs/concepts




-

# x1_06: X1.06 Forest conservation_You heard about this organizations/programs/concepts


1 Yes 1814 77.9%


# x1_07: X1.07 Internet_You heard about this organizations/programs/concepts




1 Yes 1795 77.1%


# x1_08: X1.08 Facebook_You heard about this organizations/programs/concepts




1 Yes 2152 92.4%


# x1_09: X1.09 Bor Bor Kab Krop Koeung_You heard about this organizations/programs/concep




1 Yes 2197 94.4%


# x1_10: X1.10 Three food groups_You heard about this organizations/programs/concepts




1 Yes 1256 54.0%


# x1_11: X1.11 Did you or anyone in the household access credit in the past 12 months




1 Yes 1467 63.0%



-

# x1_12_1: X1.12.1 1st If yes, for what purpose




0 N/A 0

1 Agriculture 740 50.4%

2 Non-farm business 133 9.1%

3 Buy/improve property 126 8.6%

4 Education 24 1.6%

5 HH consumption/expenditure 187 12.7%

7.8%

6.3%

6 Construction/repair 114

7 Ceremony 7 0.5%

8 Sickness of household members 93

9 Repay another loan 38 2.6%

10 Other emergency (fire, flood, theft, conflict) 1 0.1%



# x1_12_2: X1.12.2 2nd If yes, for what purpose




0 N/A 0




4 Education 12 2.9%


6 Construction/repair 29 7.1%

7 Ceremony 3 0.7%

8 Sickness of household members 44 10.8%


10 Other emergency (fire, flood, theft, conflict) 0



# x1_12_3: X1.12.3 3rd If yes, for what purpose




0 N/A 0




-

# x1_12_3: X1.12.3 3rd If yes, for what purpose



4 Education 0


6 Construction/repair 3 8.6%

7 Ceremony 0

8 Sickness of household members 6 17.1%


10 Other emergency (fire, flood, theft, conflict) 0

11 Other (specify) 0


# x1_13_1: X1.13.1 1st If yes, from where borrowing?




0 N/A 0

1 Bank 229 15.6%

2 Micro Finance Institution 777 53.0%

3 Savings Fund group 55 3.7%

4 Community member 17 1.2%

5 Relative/ Friend/ Neighbor 202 13.8%

6 Local money Lender 164 11.2%

7 Commission Agent 11 0.7%

8 Employer 1 0.1%

9 Trader 8 0.5%

10 Others (Specify) 3 0.2%


# x1_13_2: X1.13.2 2nd If yes, from where borrowing?




0 N/A 0

1 Bank 7 6.2%

2 Micro Finance Institution 21 18.8%





7 Commission Agent 0

8 Employer 0

9 Trader 3 2.7%


-

# x1_13_2: X1.13.2 2nd If yes, from where borrowing?


10 Others (Specify) 0


# x1_13_3: X1.13.3 3rd If yes, from where borrowing?




0 N/A 0

1 Bank 0

2 Micro Finance Institution 0





7 Commission Agent 0

8 Employer 0

9 Trader 0



# x1_14_1: X1.14.1 1st If no, why not?




0 N/A 0

1 Did not need 486 56.4%

2 Do not have access to credit 9 1.0%

3 Very high interest rate 1 0.1%

4 Far From Residence 0

5 Bank staff not cooperative 0

6 Was getting less amount 1 0.1%

7 Loan was not approved 6 0.7%

8 No collateral 26 3.0%

9 Do not have to rerurn loan 332 38.6%



# x1_14_2: X1.14.2 2nd If no, why not?




-

# x1_14_2: X1.14.2 2nd If no, why not?


0 N/A 0



3 Very high interest rate 3 3.7%



6 Was getting less amount 0

7 Loan was not approved 3 3.7%





# x1_14_3: X1.14.3 3rd If no, why not?




0 N/A 0



3 Very high interest rate 0



6 Was getting less amount 0

7 Loan was not approved 0





# x1_15: X1.15 Does anyone in this household have a Facebook page?




1 Yes 735 31.6%


# x1_16: X1.16 What is the distance from your house to the nearest paved road in Km




-

# x1_17: X1.17 What is the distance from your house to the nearest market where you obta



# x1_18: X1.18 When it comes to adopting new technology, inputs or farming practices, whi




1 I am one of the first ones to adopt NEW technologies 1067 45.8%

2 I usually wait until a few farmers I know have used those inputs/ 541 23.2%technologies/practices, and then based on their experiences I makethe decision

3 I usually wait until most farmers in this village are already using 235 10.1%those inputs/technologies/practices, and I am 100% sure that thosetechnologies work

4 I rarely change my farming practices as I am not comfortable doing 485 20.8%new things


# x1_19: X1.19 Do you use mobile phone to access information related to farming?




1 Yes 208 8.9%


# x1_20_1: X1.20.1 Poster 1_Have you seen this before?




1 Yes 744 32.0%


# x1_21_1: X1.21.1 Poster 1_If Yes, where or in what context?




1 Training program organized by USAID/HARVEST 79 10.6%

2 Training program organized by others 62 8.3%

3 Billboard 429 57.7%

4 Extension agent 30 4.0%

5 Other farmer 7 0.9%

6 Community leaders 11 1.5%

7 Other media 118 15.9%


Sysmiss 1584


-

# x1_21_1: X1.21.1 Poster 1_If Yes, where or in what context?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.





1 Yes 532 22.9%



















1 Yes 961 41.3%









4 Extension agent 79 8.2%5 Other farmer 14 1.5%




Sysmiss 1367


-






1 Yes 1023 43.9%



















1 Yes 864 37.1%














Sysmiss 1464


-






1 Yes 556 23.9%



















1 Yes 727 31.2%














Sysmiss 1601


-






1 Yes 1136 48.8%



















1 Yes 609 26.2%














Sysmiss 1719

-

File : harvest_module_x1_2016# x1_21_9: X1.21.9 Poster 9_If Yes, where or in what context?Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.









# x1_16_0: X1.16 What is the distance from your house to the nearest paved road in Km



# x1_17_0: X1.17 What is the distance from your house to the nearest market where you obta




1 Yes 1190 51.1%

2 No 1138 48.9%










Sysmiss 1138


-




# x2_01: X2.01 Activities in the last 4 years




1 Rice technology demonstration Site 2328 9.1%

2 Corn demonstration site 2328 9.1%

3 Aquaculture and fisheries demonstration site 2328 9.1%

4 Commercial horticulture demonstration site 2328 9.1%

5 Home gardens program 2328 9.1%

6 Business development training 2328 9.1%

7 Forestry related programs 2328 9.1%

8 Nutrition field days 2328 9.1%

9 Food security and nutrition group 2328 9.1%

10 Mobile kitchen program 2328 9.1%

11 Savings Fund group 2328 9.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# x2_02: X2.02 Host_Did anyone in your household in [ACTIVITY] in the last 4 years




1 Yes 713 6.1%

2 No 10927 93.9%

98 Don?t know 0


# x2_03: X2.03 Visit/participate_Did anyone in your household in [ACTIVITY] in the last 4




1 Yes 7366 28.8%

2 No 18241 71.2%

98 Don?t know 1 0.0%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

# x2_04_1: X2.04.1 1st Who was the main organizer of this activity?




0 NotAppl 0

1 HARVEST/USAID 4299 58.0%


-

# x2_04_1: X2.04.1 1st Who was the main organizer of this activity?


2 DFID 2 0.0%

3 JICA 8 0.1%

4 Other NGOs 2458 33.2%

5 Government 374 5.0%

98 Don?t know 265 3.6%


# x2_04_2: X2.04.2 2nd Who was the main organizer of this activity?




0 NotAppl 0


2 DFID 0

3 JICA 0

4 Other NGOs 83 66.9%


98 Don?t know 0


# x2_04_3: X2.04.3 3rd Who was the main organizer of this activity?




0 NotAppl 0


2 DFID 0

3 JICA 0

4 Other NGOs 2 28.6%


98 Don?t know 0


# x2_05a: X2.05A Males_How many males from your HH who are more than 15 years of age parti




0 4339 58.6%

1 2950 39.8%

2 96 1.3%

3 17 0.2%

Sysmiss18202

# x2_05a: X2.05A Males_How many males from your HH who are more than 15 years of age parti

Value4Sysmiss

Label Cases4

18202

Percentage

0.1%


# x2_05b: X2.05B Females_How many females from your HH who are more than 15 years of age pInformationStatistics [NW/ W]



# x2_06: X2.06 When was the last year you or member of your HH participated? (for currentInformationStatistics [NW/ W]

[Type= discrete] [Format=character] [Missing=*][Valid=7406 /-] [Invalid=0 /-]

Value2012201320142015201698

Label Cases22441932140211306944

Percentage

30.3%26.1%

18.9%15.3%

9.4%

0.1%Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.


-


0 1786 24.1%

1 5355 72.3%

2 235 3.2%

3 26 0.4%

4 4 0.1%

Impact Evaluation of Feed the Future Cambodia · Web viewHelping Address Rural Vulnerabilities and...

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