DDI_PAK_2014_FDSH_v01_M_WB
Development Data Group
2016-02-23
NADA
Version 01 (February 2016)
CGAP Financial Diaries with Smallholder Households 2014-2015
FDSH 2014-15
PAK_2014_FDSH_v01_M
Jamie Anderson
Wajiha Ahmed
Daryl Collins
RCons
CGAP 2016
NADA
World Bank Group
Anna Nunan
Jamie Barbara Anderson
Other Household Survey
The study was conducted in 3 countries: Mozambique, Tanzania, and Pakistan.
Version 2.1: Edited, anonymized dataset for public distribution
In order to elucidate the financial lives of smallholder households and build the evidence base on this important client group, Consultative Group to Assist the Poor (CGAP) of the World Bank launched the year-long Financial Diaries with Smallholder Families (the "Smallholder Diaries"). The study captured the financial and in-kind transactions of 270 households in Tanzania, Pakistan and Mozambique, of which 94 households are in the Punjab province, the breadbasket of Pakistan. The sample was drawn from 2 villages in Pakistan. Villages were selected based on their involvement in agriculture, and convenience in reaching them. Between June 2014 and July 2015, enumerators visited sample families every fortnight to conduct comprehensive face-to-face interviews to track all the money flowing into and out of their households.
Pakistan
In Pakistan, the Smallholder Diaries were conducted in Bahawalnagar, southern Punjab, within the country's breadbasket. Rice, wheat, and cotton are commonly grown and typically sold through a network of local commission agents (known as arthis) and village traders. Given the dominance of agricultural middlemen in Pakistan, two villages in the district of Bahawalnagar were selected as representative of an area with relatively looser connections to agricultural value chains and middlemen.
The main unit for data collection for transactions was the household. However, each income source and financial instrument was ascribed to a specific household member during the initial questionnaire. Thus all transactions associated with that instrument or income source are registered under its owner. Similarly, transactions related to expenses were individually attributed to the member who initiated the respective transaction.
There was a small number of cash flows where the interviewer was not able to unambiguously identify the initiating household member. In these cases, the cash flow was recorded as belonging to the entire household (in the dataset the member ID field would be blank).
Analysis can be performed at two different levels of aggregation:
a) The household itself
b) Individual household members
In our study the household is defined as including those who consistently share financial resources, live together, share the same cooking arrangement, and report to the same household head. This includes babies, children, people who travel for work or school during the week and consider the household to be their main residence. However, the definition does not include people who are currently spending an extended period of time away from the household, including college students, students away at boarding school, military personnel, people in prison, or people who live in the house but maintain completely separate expenses (e.g. roommates, other families).
Once the villages for the Smallholder Diaries were selected, the research teams used a screening process to help identify a range of families with 5 acres of land or less, diverse income sources, access to agricultural inputs, wealth levels, and crops to participate in the research.
In Pakistan, the sample was selected using a traditional screener survey with questions related to household demographics, crops and livestock, main income sources, and wealth indicators, administered to all households in the selected villages. As a supplement to this process, village leaders and community representatives were consulted to help ensure local participation and eliminate households with large landholdings.
Event/Transaction data [evn]
HOUSEHOLD AND MEMBER-LEVEL INFORMATION:
Cash flows file: Financial inflows and outflows
MEMBER-LEVEL INFORMATION:
Demographics file: Gender, age, marital status, school enrollment, highest level of education, native language, whether they can read/ write.
Bankable Frontier Associates
The methodology and sample size of the Smallholder Diaries was designed to generate a rich pool of detailed information and insights on a targeted population. The Smallholder Diaries are not intended to be statistically representative of smallholder families in participating countries.
Total number of households in sample: 93 (Mozambique); 86 (Tanzania); 94 (Pakistan). The sample came was drawn from 3 villages in Mozambique, 2 villages in Tanzania, and 2 villages in Pakistan. Villages were selected based on their involvement in agriculture, and convenience in reaching them.
The research teams used a screening process to help identify a range of families with 5 acres of land or less, diverse income sources, access to agricultural inputs, wealth levels, and crops to participate in the research. In Pakistan, the sample was selected using a traditional screener survey with questions related to household demographics, crops and livestock, main income sources, and wealth indicators, administered to all households in the selected villages. As a supplement to this process, village leaders and community representatives were consulted to help ensure local participation and eliminate households with large landholdings, harvests per year, use of inputs, and integration with local markets and a variety of families were chosen.
In Pakistan, the sample was selected using a traditional screener survey with questions related to household demographics, crops and livestock, main income sources, and wealth indicators. As a supplement to this process, village leaders and community representatives were consulted to help ensure local ownership and eliminate households with large landholdings.
Face-to-face [f2f]
Interviewers visited each household and conducted three initial questionnaires. They 1) collected a household roster and demographic information about household members; 2) captured a register of physical assets and income sources for each household member and 3) registered the unique financial instruments used by each household member. This baseline information was then used to generate a custom cash flows questionnaire for each household, built to collect income, expenditure, and financial transactions for each individual. This customized cash flows questionnaire was then used for the collection of cash flows data. During regular visits about every two weeks, interviewers captured a complete set of daily, individual transactions from the preceding two-week period. Households were asked only about transactions using financial instruments and income sources that they actually have, rather than going through a generic list of questions. However, the cash flows questionnaire was continuously updated as new members joined the household, members acquired new financial instruments or income sources, or as the interviewers became aware of previously undisclosed ones.
Field enumerators went through a training process. Interviews were conducted about every two weeks and lasted for about an hour each time. Interviews were conducted in the local languages in each village, but recorded in the database as follows: Urdu for the Pakistan data.
All data, including the initial questionnaires, were collected between April 2014 and June 2015. Data collection on household cash flows started in June 2014 and ended in June 2015. The timeframes for observations are not exactly the same for every sample and household. In some areas and with some households, the Smallholder Diaries started slightly earlier than others.
Each county research team was organized as follows: A Country Project Manager from BFA directly supervised a Research Manager from the in-country teams. The Research Manager in turn supervised a data analyst and three to five field interviewers.
CGAP retained the services of Bankable Frontier Associates (BFA) to manage the Smallholder Diaries. For in-country data collection, BFA worked with International Capital Corporation in Mozambique, Digital Divide Data in Tanzania, and RCons in Pakistan. The core team included a Project Manager from BFA to manage the overall study; a Country Project Manager from BFA for each specific country. The in-country data collection teams consisted of a Research Manager, Data Analyst, and field interviewers. The main responsibility of the research manager was to manage the Field Researchers and the Data Analyst in order to ensure high data quality throughout the course of the Smallholder Diaries project.
The data analyst’s primary role was to manage the Smallholder Diaries database, including set-up and quality control through the data collection process. This included:
• Testing the database on tablet computers
• Helping to train field researchers on how to input data on the tablets
• Checking and verifying data throughout the project
• Downloading data from the database and analyzing it, either in Excel, Stata, or another program
• Supporting field researchers when they have questions about data entry
• Providing feedback and solving problems to enable the work of the researchers
The primary responsibilities of the field interviewers (three to five per country) was to interview households about their spending, income, and financial behaviors approximately every two weeks over the course of 12 months. Beyond simply conducting the interview, the researchers needed to manage relationships with these households, whom they saw on a regular basis. The interviewers were responsible for entering data into tablet computers and verifying that data is accurate. Specific duties included:
• Attending three trainings on the Financial Diaries methodology
• Helping to recruit smallholder families to participate in the year-long study.
• Carrying out three initial questionnaires with the selected households
• Visiting the households approximately every 14 days to carry out a 45-75 min survey about the cash flows of the household
• Inputting data into the database through the tablet computer.
• Syncing data to be stored to the database server daily.
• Carefully checking and verifying data and work with the data analyst and making corrections.
• Encouraging households to continue to participate in the research for the duration of the project.
• Discretely administering monetary gifts that will be given to the households.
• Treating the households with respect and empathy, while not intervening in ways that would change their financial behaviors.
• Participating in regular team calls to share experiences and update on findings.
All data editing was done manually.
The sample initially included 286 households in all three countries, and the study ended with 273 households in total – an attrition rate similar to what has been observed in the past in similar Financial Diaries exercises. Households left the study due to moving from the study villages, seasonal migration, and occasionally by the prompting of the research team due to concerns about the household’s willingness to be forthcoming about important sources of income.
Use 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 survey reference number
- the source and date of download
Example:
World Bank. Pakistan Financial Diaries with Smallholder Households 2014-2015. Ref. PAK_2014_FDSH_v01_M. Dataset downloaded from [URL] on [date].
Direct access.
Rights and Permissions This work is available under the Creative Commons Attribution 3.0 Unported license (CC BY 3.0) http://creativecommons .org/licenses/by/3.0. Attribution—Cite the work as follows: Anderson, Jamie, and Wajiha Ahmed. 2016. "Smallholder Financial Diaries Datasets." Washington, D.C.: CGAP. License: Creative Commons Attribution CC BY 3.0 All queries on rights and licenses should be addressed to CGAP Publications, 1818 H Street, NW, MSN IS7-700, Washington, DC 20433 USA; e-mail: cgap@world bank.org.
CGAP Smallholder Diaries_Data Set PAK Cash Flows_18 Feb 16
Cash Flows
136826
15
CGAP Smallholder Diaries_Data Set PAK Member Data_18 Feb 16
Member Data
602
11
CGAP Smallholder Diaries_Data Set PAK Crop Tracker_02 Jun 17
Crop Tracker Data
3222
7
Household code
Household code
Household code
Household code
Household code
136826
PKFT01
PKFT02
PKFT03
PKFT04
PKFT05
PKFT06
PKFT07
PKFT08
PKFT09
PKFT10
PKFT11
PKFT12
PKFT13
PKFT14
PKFT15
PKFT17
PKFT18
PKFT19
PKFT20
PKFT22
PKFT23
PKFT24
PKFT25
PKFT26
PKFT27
PKFT28
PKFT29
PKFT30
PKFT31
PKFT32
PKFT33
PKFT34
PKFT35
PKFT36
PKFT37
PKFT38
PKFT39
PKFT41
PKFT42
PKMP01
PKMP02
PKMP04
PKMP05
PKMP06
PKMP07
PKMP08
PKMP09
PKMP10
PKMP13
PKMP14
PKMP16
PKMP17
PKMP18
PKMP19
PKMP20
PKMP21
PKMP22
PKMP23
PKMP25
PKMP26
PKMP27
PKMP28
PKMP30
PKMP31
PKMP32
PKMP33
PKMP36
PKMP37
PKMP38
PKMP39
PKMP40
PKMP45
PKMP46
PKMP48
PKMP52
PKMP53
PKMP54
PKMP55
PKMP56
PKMP57
PKMP58
PKMP59
PKMP60
PKMP61
PKMP62
PKMP63
PKMP64
PKMP65
PKMP66
PKMP67
PKMP68
PKMP71
PKMP72
PKMP73
Member ID
Member ID
Member ID
Member ID
Member ID
133969
2857
1
602
Interview date and time
Interview date and time
Interview date and time
Interview date and time
Interview date and time
136826
Cash flow date
Cash flow date
Cash flow date
Cash flow date
Cash flow date
136826
1/1/2002
1/1/2011
1/1/2012
1/1/2013
1/1/2014
1/1/2015
1/10/2015
1/11/2015
1/12/2015
1/13/2015
1/14/2015
1/15/2015
1/16/2015
1/17/2015
1/18/2015
1/19/2015
1/2/2015
1/20/2015
1/21/2015
1/22/2015
1/23/2015
1/24/2015
1/25/2015
1/26/2015
1/27/2015
1/28/2015
1/29/2015
1/3/2015
1/30/2015
1/31/2015
1/4/2015
1/5/2015
1/6/2015
1/7/2015
1/8/2015
1/9/2015
10/1/2013
10/1/2014
10/10/2014
10/11/2014
10/12/2014
10/13/2014
10/14/2014
10/15/2014
10/16/2014
10/17/2014
10/18/2014
10/19/2014
10/2/2014
10/20/2014
10/21/2014
10/22/2014
10/23/2014
10/24/2014
10/25/2014
10/26/2014
10/27/2014
10/28/2014
10/29/2014
10/3/2014
10/30/2014
10/31/2014
10/4/2014
10/5/2014
10/6/2014
10/7/2014
10/8/2014
10/9/2014
11/1/2014
11/10/2014
11/11/2014
11/12/2014
11/13/2014
11/14/2014
11/15/2014
11/16/2014
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11/18/2014
11/19/2014
11/2/2014
11/20/2014
11/21/2014
11/22/2014
11/23/2014
11/24/2014
11/25/2014
11/26/2013
11/26/2014
11/27/2014
11/28/2014
11/29/2014
11/3/2014
11/30/2014
11/4/2014
11/5/2013
11/5/2014
11/6/2014
11/7/2014
11/8/2014
11/9/2014
12/1/2013
12/1/2014
12/10/2014
12/11/2014
12/12/2014
12/13/2014
12/14/2014
12/15/2014
12/16/2014
12/17/2014
12/18/2014
12/19/2014
12/2/2014
12/20/2014
12/21/2014
12/22/2014
12/23/2014
12/24/2014
12/25/2014
12/26/2014
12/27/2014
12/28/2014
12/29/2014
12/3/2014
12/30/2014
12/31/2014
12/4/2014
12/5/2014
12/6/2014
12/7/2014
12/8/2014
12/9/2014
2/1/2013
2/1/2014
2/1/2015
2/10/2015
2/11/2015
2/12/2015
2/13/2015
2/14/2015
2/15/2015
2/16/2015
2/17/2015
2/18/2015
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2/2/2015
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2/22/2015
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2/27/2015
2/28/2015
2/3/2015
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2/9/2015
3/1/2014
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3/10/2015
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3/14/2015
3/15/2015
3/16/2015
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3/22/2015
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3/24/2015
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3/26/2015
3/27/2015
3/28/2015
3/29/2015
3/3/2015
3/30/2015
3/31/2015
3/4/2015
3/5/2015
3/6/2015
3/7/2015
3/8/2015
3/9/2015
4/1/2014
4/1/2015
4/10/2015
4/11/2015
4/12/2015
4/13/2015
4/14/2015
4/15/2015
4/16/2015
4/17/2015
4/18/2015
4/19/2015
4/2/2015
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4/26/2014
4/26/2015
4/27/2015
4/28/2015
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4/3/2015
4/30/2015
4/4/2015
4/5/2015
4/6/2015
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4/8/2014
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4/9/2015
5/1/2014
5/1/2015
5/10/2015
5/11/2015
5/12/2015
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5/4/2015
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5/8/2014
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6/1/2014
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6/2/2014
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6/20/2015
6/21/2015
6/24/2014
6/28/2014
6/29/2014
6/3/2015
6/4/2015
6/5/2015
6/6/2015
6/7/2015
6/8/2015
6/9/2014
6/9/2015
7/1/2014
7/10/2014
7/11/2014
7/12/2014
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7/14/2014
7/15/2014
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8/1/2014
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8/25/2014
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8/27/2011
8/27/2014
8/28/2014
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8/3/2014
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8/31/2014
8/4/2014
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8/6/2014
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8/9/2014
9/1/2014
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9/22/2014
9/23/2014
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9/27/2014
9/28/2014
9/29/2014
9/3/2014
9/30/2014
9/4/2014
9/5/2014
9/6/2014
9/7/2014
9/8/2014
9/9/2014
Account name
Account name
Account name
Account name
Account name
36252
AAC01
AAC02
AAC03
AAC04
AGRI01
AGRI02
AGRI03
AGRI04
AGRI05
AGRI06
AGRI07
AGRI08
AGRI09
AMG01
ASCA01
BCA01
BCA02
BCA03
BFIG01
BL01
BL02
CI01
CI02
CI03
CI04
CI05
CI06
CI07
CI08
CI09
CI10
CRG01
CRG02
CRG03
CRG04
CRLS01
CRLS02
CRLS03
CRLS04
CRLS05
CRLS06
CRLS07
CRLS08
CRLS09
CRLS10
CRLS11
CRLS12
CRLS13
CRLS14
CRLS15
CRLS16
HPUR01
JLL01
JLL02
LA01
LFE01
LI01
LI02
NEINCG01
OI01
OI02
OI03
OOB01
OOB02
OOB03
OOB04
OOB05
OOB06
OOB07
OOB08
OOB09
OOB10
OOB11
OOB12
OOB13
OOB14
OOB15
OOB16
OOB17
OOB18
OOB19
OOL01
OOL02
OOL03
OOL04
OOL05
OOL06
PRIV01
PW01
PW02
RAA01
REI01
REI02
REI03
RG01
RG02
RG03
RG04
RG05
RG06
RI01
ROSCA01
RR01
RR02
RR03
RR04
RR05
RR06
RR07
RR09
RR10
SEI01
SEI02
SEI03
SEI04
SHY01
SIH01
SIH02
SIH03
SUPCR01
SUPCR02
SUPCR03
UMG01
UMG02
WAD01
WAD02
WAR01
Root category
Root category
Root category
Root category
Root category
136826
Cash
Financial
Operational Expenses
Operational Income
Physical Asset
Cash flow category
Cash flow category
Cash flow category
Cash flow category
Cash flow category
136826
Accessories: bags, belts, jewelry
Act as Moneyguard
Agent credit
Agricultural Income
Animal drawn plow
Bedroom furniture including carpets
Bicycles
Blankets, sheets, and other linens
Books, newspapers, and magazines
Books, notebooks, pens, etc.
Borrowing from an Informal Group
Buffalos
Cash lost , stolen, missing
Cash on hand now
Casual employment
Cell phone, smart phone
Checking or Savings Account
Chicken and other poultry
Cigarettes and smoking supplies
Cleaning supplies
Clothes and shoes
Computers, laptops, hardware, accessories
Credit Given to Clients
Crops storage- detached from the house
DVDs, movie theaters, movie dens
Diapers and other baby supplies
Dining room and kitchen furniture
Donations to a house of worship, or to a charity
Donkeys
Electric fan
Electricity, phone charging
Electronic gadgets (iPads, iPods, cameras, etc.)
Farming tool
Farmland
Fees for permits, licenses, etc.
Food from restaurants, take aways, delivery, street food
Friends and Family: Borrowing
Friends and Family: Lending
Goats
Gold/ precious jewelry
Groceries/food to be eaten at home (include baby food)
Hair cut, barber
Hakim/traditional/informal healer
Hire Purchase
Homecare
House repairs, maintenance
Individual Loan from Institution
Informal Credit at a Store
Informal payments (bribe, protection money, etc.)
Internet service, cyber cafes, landline phone
Iron
Joint Liability Loan
Keeping Money (Cash) at Home
Kettle, blender, other electric kitchen equipment
Layaway
Legal/lawyer fees
Life insurance
Loan from Employer
Lottery tickets, betting, gambling, cards, dice
Manual plow
Medical services (clinics, hospitals, dispensaries)
Medicines
Misc.
Moneylender Borrowing
Motorbike, motorcycle
Non-employment
Other appliances
Other education-related expenses (room, board, lunches, pocket money)
Other entertainment
Other income generating activity
Other livestock
Other valuable
Outdoor furniture
Pawning
Penalties, fines, fees (including parking tickets)
Personal care, toiletries, beauty products
Petrol and oil
Pre-paid phone credit and data bundles
Primary residence (home where you live now)
Private investment in someone else\s business"
Purchase of gifts for other household members
Recreation, trips, outings, special events, religious events
Recreational drugs (like marijuana, cocaine, etc)
Refrigerator/ freezer
Regular employment
Rent
Rent Arrears
Rental Income
Rental rooms or houses (residential)
Resources given outside the household
Resources received from outside the household
Rickshaws, buses, other public transport
Satellite
Saving in a Rotating Savings Group
Saving in an ASCA
School fees (tuition), extra classes
Self-employment
Sewing machine
Stereos, speakers
Stove
Supplier Credit
Taxes
Taxi service
Toys and games
Tractor
Use Moneyguard
Utensils
Vehicle hire
Vehicle, bicycle, rickshaw, car maintenance and repairs
Wage Advance from Employer
Wage or Rental Arrears owed TO respondents
Washing machine or clothes dryer
Water pump/tube well/submersible
Water tanks
Wheelbarrow or cart
Wood/Gas (for cooking), paraffin, charcoal, etc.
Cash flow type
Cash flow type
Cash flow type
Cash flow type
Cash flow type
136826
1. Agricultural Revenues (Sales)
1. All gross wages, bonuses, comissions
1. Income
1. Income from rental
1. Income received
1. Income, wages, tips, comissions
1. Payments of premiums
1. Purchase
1. Revenue or Sales
1. Starting balance
1. Starting balance (today)
2. Accepting new deposits
2. Deposits
2. Deposits--Contributions
2. Labour (workers on fields)
2. New borrowing
2. New borrowing (individual portion)
2. New contribution or deposit
2. New credits/borrowing
2. New lending
2. New purchase on credit
2. New purchase on credit--total value
2. New purchases on credit
2. New sales on credit
2. Sale
2. Wages and benefits paid to workers
3. Closing Balance--End of last DQ
3. Expenses:Seed/fertilizer/tubewell,etc...)
3. Paying off debts
3. Payments
3. Providing withdrawals
3. Repayments
3. Repayments including deductions from sales
3. Stock purchases
3. Union Dues
3. Withdrawals
3. Withdrawals, transfers, debits
3. Withdrawals--payout of fund to you
4. Any known fees
4. Closing Balance--End of last DQ
4. Expenses (eg.rent, transport, electricity)
4. Long term expenses (plow, tools etc)
5. Closing Balance--End of last DQ
5. Interest accruing
5. Loses due to theft
6. Cancellation/Early Withdrawal
6. Closing Balance--End of last DQ
6. Debt written off
7. Closing Balance--End of last DQ
8. Ending Balance / Closing balance
Cash lost, stolen, or otherwise missing
Cash on hand now (end of period)
Other homecare expenses (furniture)
Payments
Payments & Purchases
Payments (aside from payroll deductions)
Payments and purchases
Purchases
Purchases & Payments
Resources given
Resources received
Cash flow direction
Cash flow direction
Cash flow direction
Cash flow direction
Cash flow direction
132888
In
Out
Balance sheet direction
Balance sheet direction
Balance sheet direction
Balance sheet direction
Balance sheet direction
13387
Decrease
Increase
Agricultural production type
Agricultural production type
Agricultural production type
Agricultural production type
Agricultural production type
7160
01=Wheat
02=Rice
03=Cotton
04=Maize (Corn)
05=Green chillis
08=Other crop (e.g. other veggie or fruit not listed)
09=Eggs
10=Milk
12=Other animal product (NOT animal itself)
Fodder
Transaction value
Transaction value
Transaction value
Transaction value
Transaction value
136826
1260000
Cash flow mode
Cash flow mode
Cash flow mode
Cash flow mode
Cash flow mode
136826
01=Cash
02=Cheque or money order
03=Purchase on credit/arrears
04=Bank transfer
05=Direct deposit or transfer into bank
10=In-kind (trade, good, service--NOT MONEY)
11=Hire purchase
15=STARTING BALANCE
16=CLOSING BALANCE
\N
Units of good or service if in kind
Units of good or service if in kind
Units of good or service if in kind
Units of good or service if in kind
Units of good or service if in kind
1900
0.25 kg chickn
0.25 kg chiken
0.5 kg chicken
0.5 kg chiken
0.5 kg green chilli
0.5 kg rice
0.5 kg sesame
0.5 kg vegetables
1
1 GOLD RING
1 Kg Wheat
1 Stichng machine
1 Tasbhee
1 bat
1 bori Khal
1 bori choker
1 bori choker.
1 bori khal
1 bori khal.
1 bori khl
1 bori klhl
1 breslat
1 buffalo
1 buffalo and 1 baby of buffalo
1 bufflo
1 cow
1 cup
1 daig
1 daig rice ki
1 dopata
1 dress
1 dupta
1 electric fan
1 goat
1 gold ring
1 kg
1 kg Milk
1 kg Rice.
1 kg apple
1 kg chicken
1 kg fruit
1 kg gauva
1 kg guava
1 kg lemon
1 kg milk
1 kg rice
1 kg sesame
1 kg sweet
1 kg vegetable
1 kg vegetables
1 kg vegitables
1 kg weat
1 kg wheat
1 kgs wheat
1 madal
1 mdhani
1 mobile
1 shaal
1 sout
1 suit
1 suit.
1 ticket umary ki.
1 trali prali
1.5
1.5 KG SWEET
1.5 kg lemon
1.5 kg sesame
1.5 kg vegetables
1.5 kgs wheat
1.5kg
1.5kg rice
1/4 kg chiken
10
10 KG MILK
10 KG SUGGER
10 Kg Wheat
10 kg Suguar
10 kg fertilizer
10 kg milk
10 kg rice
10 kg sugar
10 kg suger
10 kg wheat
10 mrly fodder
100 kilo khl
100 kg
100 kg Rice
100 kg khl.
100 kg rice
100 kgs khal
100kg khl
100kg rice
100kg wheat
10KG
10kg
10kg wheat
11 kg rice
12
12 mrly fodder
120 Wheat
120 kg
120 kg Rice
120 kg rice
120 kg wheat
120 kg whet
120 wheat
1200 kg rice
120kg
120kg wheat
124 kg wheat
1280 kg wheat
12kg
12kg wheat
13 kg rice
134 kg rice
1360kg
138 kg rice
14 kg rice
14 kg wheat
140 kg wheat
140kg wheat
15
15 kg Rice
15 kg milk
15 kg rice
15 kg wheat
15 sout
150 kg khl
15KG
15kg
15kg wheat
16
16 kg rice
16 kg wheat
160
160 kg rice
160 kg wheat
160 rice
160kg wheat
165 Kgs
17 kg rice
18
18 kg rice
18 man wheat
180 kg Rice
180 kg rice
180 kg wheat
180kg
180kg wheat
18KG
18kg
19 dress
1kg
1kg rice
2
2 KG RICE
2 KG SWEET
2 Kg Wheat
2 SOUT
2 bori choker
2 bori khl
2 borian khl
2 days medicen
2 dress
2 egg
2 fan
2 galy waly mala
2 haar ( malaa )
2 kg
2 kg Guava
2 kg Rice.
2 kg fish
2 kg fruit
2 kg guava
2 kg lemon
2 kg milk
2 kg rice
2 kg sesame
2 kg sweet
2 kg vegetable
2 kg wheat
2 kgs rice
2 kgs wheat
2 ladies sout
2 mrdana sout
2 sout
2 suit
2 suits
2 trali prali
2 vegetabls
2.50 sesame
2.5kg wheat
20
20 kg Rice
20 kg cotton
20 kg milk
20 kg rice
20 kg sugar
20 kg vegetables
20 kg wheat
20 kilo prali
20 kilo wheat
20 leter deisel
20 mrly fodder
200
200 kg Rice
200 kg rice
200 kg wheat
200 kgs Fodder
200kg wheat
20KG
20kg
20kg wheat
21 kg sugger
21 kg wheat
22 kg Rice
22 kg rice
220 kg wheat
23 kg rice
24 Kg Rice
24 kg Rice
24 kg rice
24 kg wheat
240 kg wheat
25
25 kg Rice
25 kg rice
25 kg suger
25 kg wheat
25KG
25kg
25kg Rice
27 kg rice
28 kg rice
280 kg rice
280 kg wheat
280kg
29 kg wheat
2Kgwheat
2kg
2kg weat
2kg wheat
3
3 kg Rice.
3 kg Wheat
3 kg fruit
3 kg guava
3 kg rice
3 kg sesame
3 kg suger
3 kg vegetable
3 kg wheat
3 kgs wheat
3 mn wheat
30
30 kg rice
30 kg wheat
300 kg wheat
30KG
30kg
30kg rice
32 kg rice
320 kg wheat
320kg
320kg wheat
33kg
34kg rice
35kg
36 kg wheat
360 kg Wheat
360 kg wheat
380 kg rice
3kg
3kg Rice.
3kg rice
3kg wheat
4
4 dress
4 kg
4 kg Rice.
4 kg Wheat
4 kg fruit
4 kg rice
4 kg sugger
4 kg vegetables
4 kg wheat
4 sout
40
40 KG WHEAT
40 kg Rice
40 kg Wheat
40 kg rice
40 kg wheat
40 kg whet
40 wheat
400
400 kg wheat
400kg wheat
40KG
40Kg
40kg
40kg cotton
40kg wheat
41 kg rice
41 kg wheat
41kg
420 kg wheat
44 kgs rice
440 kg wheat
440kg wheat
45 kg khl
45 kg wheat
45kg
47 kg wheat
480 kg Wheat
480 kg wheat
4kg
4kg wheat
5
5 kg Brseem Seeds
5 kg Sweet
5 kg fruit
5 kg milk
5 kg rice
5 kg sugar
5 kg suger
5 kg suguar
5 kg vegetable
5 kg wheat
5 kilo milk
5 mrly fodder
50
50 kg
50 kg Khal.
50 kg Rice
50 kg Wheat seeds
50 kg khal.
50 kg khl
50 kg rice
50 kg suger
50 kg wheat
50Kg
50kg
50kg wheat
520 kg Wheat
54 kg rice
55 kg wheat
56 kg wheat
560
5kg
5kg wheat
6
6 kg Rice.
6 kg fruit
6 kg rice
6 sout
60
60 kg rice
60 kg wheat
600 kg wheat
600kg wheat
60Kg
60kg
60kg rice
65 kg rice
7 kg Rice
7 kg wheat
7 man wheat
7 mrly fodder
75 kg
7kg
8
8 baby sout
8 kg sugger
80
80 kg fertilizers
80 kg rice
80 kg wheat
80kg
80kg wheat
840
8kg
9 kg wheat
90
90 kg Khal.
900 kg rice
960 kg wheat (thaika)
9kg
Aik jucer machine
Fotgi ma khana dia
Furnitur.
Grossary
Half Kg Tabacoo
Iron
Jahaiz
Jahaiz (Matras foam)
Khal 55 kg
Mobil
Rice 400 kg.
Rice 620kg
Rice and goods
Tractor sy hl chalway
`
aik pao chiken (1/4 kg)
baby shoes
bangles
bangls and dress
bedsheet and rzae cover
blanket & bedsheets
clothes & shoes
decoration
dhol wala
electric fan
entertainment
fodder
fotgi pr khana dia
furnitur
furniture
ghee , suger etc
gift piece
hl chalwaya
hl chalwya
jewelry
jewlery
kapry
khal 49 kgs
khana dia
kitchen k brtn
kitchen ki dosri chezian
ladies shoes
medicines
mjolloooololllloololllllll
one baby of goat
purchase 1600 kg tori
purchase a buffalo
purchase a cow
purchase prali
purchase water
purchase wheat
roter chalwaya
shoes
suger 40 kg
tractor sy hl chalwaya
wari
water purchase
wheat 40 kg
Transaction value if in kind
Transaction value if in kind
Transaction value if in kind
Transaction value if in kind
Transaction value if in kind
1877
100
1000
10000
100000
1020
10350
105
1050
10530
10600
110
1100
1120
1125
1130
1140
115
1150
11500
1160
1166
1170
11700
11750
1180
11820
1186
1190
120
1200
12000
120000
12050
125
1250
12500
12600
1265
12760
130
1300
13000
1320
13200
13255
1375
140
1400
14000
14040
141
1431
14400
15
150
1500
15000
152
15200
15210
1540
15400
155
1550
160
1600
16000
165
1650
16625
1670
170
1700
17100
175
17550
17850
180
1800
1850
187
190
1900
19600
20
200
2000
20520
2100
21000
215
220
2200
225
2260
2280
2295
230
2300
2320
2332
2340
2350
2380
2400
24000
2410
2420
24360
2460
25
250
2500
25000
255
25500
260
2600
2700
2720
275
280
2800
28080
2850
2870
2875
29
30
300
3000
3020
30325
320
3200
32000
3300
33900
3400
3450
3480
35
350
3500
3510
3540
360
3600
36800
370
3700
375
3750
38
3800
390
39440
40
400
4000
40000
4060
420
4200
4250
4260
4262
4400
45
450
4500
4520
460
4600
4760
4800
50
500
5000
5025
5075
5100
520
525
530
5330
5400
54000
55
550
5500
55000
56000
5660
570
5700
575
5750
580
5830
5850
593
5930
5950
60
600
6000
60000
605
62
620
6210
630
65
650
65000
66
6600
670
6840
6900
6996
70
700
7000
70000
7020
7100
7200
725
75
750
75000
7600
77
770
7700
7910
80
800
8000
80000
825
8400
848
85
850
8550
870
880
8800
90
900
9000
90000
9200
925
935
950
952
9600
980
990
\N
Member ID
Member ID
Member ID
Member ID
Member ID
602
1
602
Household code
Household code
Household code
Household code
Household code
602
PKFT01
PKFT02
PKFT03
PKFT04
PKFT05
PKFT06
PKFT07
PKFT08
PKFT09
PKFT10
PKFT11
PKFT12
PKFT13
PKFT14
PKFT15
PKFT17
PKFT18
PKFT19
PKFT20
PKFT22
PKFT23
PKFT24
PKFT25
PKFT26
PKFT27
PKFT28
PKFT29
PKFT30
PKFT31
PKFT32
PKFT33
PKFT34
PKFT35
PKFT36
PKFT37
PKFT38
PKFT39
PKFT41
PKFT42
PKMP01
PKMP02
PKMP04
PKMP05
PKMP06
PKMP07
PKMP08
PKMP09
PKMP10
PKMP13
PKMP14
PKMP16
PKMP17
PKMP18
PKMP19
PKMP20
PKMP21
PKMP22
PKMP23
PKMP25
PKMP26
PKMP27
PKMP28
PKMP30
PKMP31
PKMP32
PKMP33
PKMP36
PKMP37
PKMP38
PKMP39
PKMP40
PKMP45
PKMP46
PKMP48
PKMP52
PKMP53
PKMP54
PKMP55
PKMP56
PKMP57
PKMP58
PKMP59
PKMP60
PKMP61
PKMP62
PKMP63
PKMP64
PKMP65
PKMP66
PKMP67
PKMP68
PKMP71
PKMP72
PKMP73
Member age
Member age
Member age
Member age
Member age
602
825
Member gender
Member gender
Member gender
Member gender
Member gender
602
1
male
2
female
Marital status
Marital status
Marital status
Marital status
Marital status
346
256
1
Married
2
Single
3
Widowed
4
Divorced
5
Separated
Sysmiss
Currently enrolled in school
Currently enrolled in school
Currently enrolled in school
Currently enrolled in school
Currently enrolled in school
601
1
no
1
yes
Sysmiss
Level of school where currently enrolled
Level of school where currently enrolled
Level of school where currently enrolled
Level of school where currently enrolled
Level of school where currently enrolled
154
448
1
Nursery/Kindergarten
2
Class 1-9
3
SSC/Matric/O-Level
4
HSC/F.Sc/A-Level
5
Graduate/MBBS/BDS/LLB
6
MA/MPhil/MS
7
Madrassa
8
Other
98
None
99
Does not know
Sysmiss
Highest educational attainment
Highest educational attainment
Highest educational attainment
Highest educational attainment
Highest educational attainment
601
1
1
Nursery/Kindergarten
2
Class 1-9
3
SSC/Matric/O-Level
4
HSC/F.Sc/A-Level
5
Graduate/MBBS/BDS/LLB
6
MA/MPhil/MS
7
Madrassa
8
Other
98
None
99
Does not know
Sysmiss
Native language
Native language
Native language
Native language
Native language
602
1
Punjabi
Can read
Can read
Can read
Can read
Can read
601
1
no
1
yes
Sysmiss
Can write
Can write
Can write
Can write
Can write
601
1
no
1
yes
Sysmiss
Household Code
Household Code
Household Code
Household Code
Household Code
3222
PKFT01
PKFT02
PKFT03
PKFT04
PKFT05
PKFT06
PKFT07
PKFT08
PKFT09
PKFT10
PKFT11
PKFT12
PKFT13
PKFT14
PKFT15
PKFT17
PKFT18
PKFT19
PKFT20
PKFT22
PKFT23
PKFT24
PKFT25
PKFT26
PKFT27
PKFT28
PKFT29
PKFT30
PKFT31
PKFT32
PKFT33
PKFT34
PKFT35
PKFT36
PKFT37
PKFT38
PKFT39
PKFT41
PKFT42
PKMP01
PKMP02
PKMP04
PKMP05
PKMP06
PKMP07
PKMP08
PKMP09
PKMP10
PKMP13
PKMP14
PKMP16
PKMP17
PKMP18
PKMP19
PKMP20
PKMP21
PKMP22
PKMP23
PKMP25
PKMP26
PKMP27
PKMP28
PKMP30
PKMP31
PKMP32
PKMP33
PKMP36
PKMP37
PKMP38
PKMP39
PKMP40
PKMP45
PKMP46
PKMP48
PKMP52
PKMP53
PKMP54
PKMP55
PKMP56
PKMP57
PKMP58
PKMP59
PKMP60
PKMP61
PKMP62
PKMP63
PKMP64
PKMP65
PKMP66
PKMP67
PKMP68
PKMP71
PKMP72
PKMP73
Interview Date
Interview Date
Interview Date
Interview Date
Interview Date
2960
2014-07-20
2015-06-21
2014-07-20
2014-07-21
2014-07-23
2014-07-24
2014-07-25
2014-07-26
2014-07-27
2014-07-28
2014-08-07
2014-08-08
2014-08-09
2014-08-10
2014-08-11
2014-08-12
2014-08-13
2014-08-21
2014-08-22
2014-08-23
2014-08-24
2014-08-25
2014-08-26
2014-09-06
2014-09-07
2014-09-08
2014-09-09
2014-09-10
2014-09-11
2014-09-19
2014-09-20
2014-09-21
2014-09-22
2014-09-23
2014-09-24
2014-09-25
2014-10-15
2014-10-16
2014-10-17
2014-10-18
2014-10-20
2014-10-22
2014-10-31
2014-11-01
2014-11-02
2014-11-03
2014-11-05
2014-11-07
2014-11-14
2014-11-15
2014-11-16
2014-11-17
2014-11-18
2014-11-28
2014-11-29
2014-11-30
2014-12-01
2014-12-02
2014-12-03
2014-12-19
2014-12-20
2014-12-21
2014-12-22
2014-12-23
2014-12-24
2014-12-28
2015-01-06
2015-01-07
2015-01-08
2015-01-09
2015-01-10
2015-01-22
2015-01-23
2015-01-24
2015-01-25
2015-01-26
2015-01-27
2015-02-07
2015-02-08
2015-02-09
2015-02-10
2015-02-11
2015-02-24
2015-02-25
2015-02-26
2015-02-27
2015-02-28
2015-03-12
2015-03-14
2015-03-15
2015-03-16
2015-03-17
2015-03-18
2015-04-01
2015-04-02
2015-04-03
2015-04-04
2015-04-05
2015-04-16
2015-04-17
2015-04-18
2015-04-20
2015-04-21
2015-04-22
2015-05-11
2015-05-12
2015-05-13
2015-05-16
2015-05-17
2015-05-23
2015-05-24
2015-05-25
2015-06-02
2015-06-03
2015-06-04
2015-06-13
2015-06-14
2015-06-15
2015-06-16
2015-06-17
2015-06-21
Crop name
Crop name
Crop name
Crop name
Crop name
3222
CROP01 (Cotton)
CROP01 (Fodder)
CROP01 (Rice)
CROP01 (WHEAT)
CROP01 (Wheat)
CROP01 (wheat)
CROP02 (Cotton)
CROP02 (Fodder)
CROP02 (Rice)
CROP02 (Shaqer qandi)
CROP02 (Wheat)
CROP02 (fodder)
CROP02 (rice)
CROP02 (wheat)
CROP03 (Cotton)
CROP03 (Fodder)
CROP03 (Mustard)
CROP03 (Rice)
CROP03 (Wheat)
CROP03 (cotton)
CROP03 (fodder)
CROP04 (Cotton)
CROP04 (Fodder)
CROP04 (Mustar)
CROP04 (Mustard)
CROP04 (Rice)
CROP04 (Sesame)
CROP04 (Vegetable)
CROP04 (Vegetables)
CROP04 (Vegitables)
CROP04 (fodder)
CROP04 (vegetables and fruit)
CROP05 (Cotton)
CROP05 (Mustard)
CROP05 (Sesame)
CROP05 (Vegetable)
CROP06 (Mustard)
Crop type
Crop type
Crop type
Crop type
Crop type
3222
1
7
1
Cotton
2
Fodder
3
Mustard
4
Other crop
5
Rice
6
Vegetables
7
Wheat
Type of transaction
Type of transaction
Type of transaction
Type of transaction
Type of transaction
3222
1
6
1
consumption
2
given away
3
initial store
4
loss
5
new harvest
6
sale
Quantity
Quantity
Quantity
Quantity
Quantity
3171
51
0.25
15000
Value
Value
Value
Value
Value
2960
262
25
427400