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 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6/17/2015 6/18/2015 6/19/2015 6/2/2014 6/2/2015 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 7/13/2014 7/14/2014 7/15/2014 7/16/2014 7/17/2014 7/18/2014 7/19/2014 7/2/2014 7/20/2014 7/21/2014 7/22/2014 7/23/2014 7/24/2014 7/25/2014 7/26/2014 7/27/2014 7/28/2014 7/29/2014 7/3/2014 7/30/2014 7/31/2014 7/4/2014 7/5/2014 7/6/2014 7/7/2014 7/8/2014 7/9/2014 8/1/2014 8/10/2014 8/11/2014 8/12/2014 8/13/2014 8/14/2014 8/15/2014 8/16/2014 8/17/2014 8/18/2014 8/19/2014 8/2/2014 8/20/2014 8/21/2014 8/22/2014 8/23/2014 8/24/2014 8/25/2014 8/26/2014 8/27/2011 8/27/2014 8/28/2014 8/29/2014 8/3/2014 8/30/2014 8/31/2014 8/4/2014 8/5/2014 8/6/2014 8/7/2014 8/8/2014 8/9/2014 9/1/2014 9/10/2014 9/11/2014 9/12/2014 9/13/2014 9/14/2014 9/15/2014 9/16/2014 9/17/2014 9/18/2014 9/19/2014 9/2/2014 9/20/2014 9/21/2014 9/22/2014 9/23/2014 9/24/2014 9/25/2014 9/26/2014 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