DDI_BRA_2019_GDV-IIAS_v01_M_v01_A_OCS Office of Chief Statistician Development Economics Data Group 2023-02-17 NADA Version 01 (February 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (BRA_2019_GDV-IIAS_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID. Rural Community Development Project - Gente de Valor, IFAD Impact Assessment Surveys 2019 GDV-IIAS 2019 BRA_2019_GDV-IIAS_v01_M_v01_A_OCS International Fund for Agricultural Development NADA International Fund for Agricultural Development Other Household Survey [hh/oth] Brazil Regional coverage. Sample survey data [ssd] Computer Assisted Personal Interview [capi] The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. anon_hhroster_11 0 64 df_anon_11 0 653 Listing Interview Key InterviewId Region 1 NORTHEAST 2 SOUTHWEST Municipality Community Sub-territory GDV beneficiary NO 1 YES Roster instance identifier Sex 1 MALE 2 FEMALE 3 TRANSGENDER/ TRANSSEXUAL Relationship to Head of Household 2 Spouse 3 Son/Daughter 4 Grandchild 5 Father/Mother 6 Sister/Brother 7 Niece/Nephew 8 Uncle/Aunt 9 Son/Daughter-In-Law 10 Father/Mother-In-Law 11 Brother/Sister-In-Law 12 Grandparents 13 Foster children 14 Orphan children 999 Other, Specify Age in years 1 2 [1,5] 3 (5,10] 4 (10,15] 5 (15,25] 6 (25,35] 7 (35, 45] 8 (45, 55] 9 (55,65] 10 (65,75] 11 +75 Months old Less than one full month Months away (past 12 months) Was not absent 101 .A Civil Status 1 MARRIED 2 NO LONGER MARRIED 3 NEVER MARRIED 4 NON-FORMAL UNION 11 .A Race 1 WHITE 2 MORENO 3 BROWN 4 YELLOW 6 QUILOMBO 7 INDIGENOUS 8 BLACK 999 OTHER, SPECIFY Religion 1 NONE 2 CATHOLIC 3 EVANGELICAL 4 UMBANDA 5 CANDOMBLÉ 999 OTHER Participated in GDV activities NO 1 YES 11 .A Held leadership role in project implementation NO 1 YES 11 .A Youth Development Agent NO 1 YES Able to read in local language 1 No 2 Yes, with difficulties 3 Yes, mostly 4 Yes, fluently 11 .A Able to write in local language 1 No 2 Yes, with difficulties 3 Yes, mostly 4 Yes, fluently 11 .A Highest educ. qualification NONE 1 PRESCHOOL 2 PRIMARY SCHOOL- YEARS 1-3 3 PRIMARY SCHOOL - YEARS 4-6 4 PRIMARY SCHOOL - YEARS 7-9 5 PRIMARY SCHOOL 2 - COLEGIAL 6 PRIMARY SCHOOL 2 - TECHNICAL SCHOOL 7 HIGHER THAN PRIMARY SCHOOL 2 Currently attending school NO, OTHER REASON 1 YES 2 NO, GRADUATED Frequency of school attendance 1 CONSTANT ATTENDANCE/OCCASIONAL ABSENCE 2 MISSES SEVERAL DAYS A MONTH 3 MISSES SEVERAL TIMES A WEEK 4 SEASONAL ABSENCES Reasons for missing school - Farm work No 1 Yes Reasons for missing school - Domestic work No 1 Yes Reasons for missing school - Lack of school fees No 1 Yes Reasons for missing school - Lack of transport/fees No 1 Yes Reasons for missing school - Personal health No 1 Yes Reasons for missing school - School closed No 1 Yes Reasons for missing school - Teacher absent No 1 Yes Reasons for missing school - Limited school resources No 1 Yes Reasons for missing school - No longer interested No 1 Yes Has difficulty seeing, even with glasses NO 1 YES, SOME DIFFICULTY 2 YES, A LOT OF DIFFICULTY 3 CANNOT PERFORM ACTIVITIES AT ALL 11 .A Has difficulty hearing, even with hearing aid NO 1 YES, SOME DIFFICULTY 2 YES, A LOT OF DIFFICULTY 3 CANNOT PERFORM ACTIVITIES AT ALL 11 .A Has difficulty walking or climbing steps NO 1 YES, SOME DIFFICULTY 2 YES, A LOT OF DIFFICULTY 3 CANNOT PERFORM ACTIVITIES AT ALL 11 .A Has difficulty remembering or concentrating NO 1 YES, SOME DIFFICULTY 2 YES, A LOT OF DIFFICULTY 3 CANNOT PERFORM ACTIVITIES AT ALL 11 .A Has difficulty with self-care (washing, dressing, eating, etc.) NO 1 YES, SOME DIFFICULTY 2 YES, A LOT OF DIFFICULTY 3 CANNOT PERFORM ACTIVITIES AT ALL 11 .A Has difficulty communicating NO 1 YES, SOME DIFFICULTY 2 YES, A LOT OF DIFFICULTY 3 CANNOT PERFORM ACTIVITIES AT ALL 11 .A Difficulty reduces amount of work they can do at home, work, or school NO 1 YES, ALL THE TIME 2 YES, SOMETIMES 3 N/A (IF NOT WORKING OR NOT ATTENDING SCHOOL) Longest wage job - Form of employment 1 1 FARM WORK 2 NON-FARM WORK 3 PROFESSIONAL Longest wage job - Form of employment 2 1 AGRICULTURAL / FORESTRY / FISHERY WORKERS 2 GUARD / PRIVATE HOUSEHOLD SERVICES 3 SERVICE / SALES 4 CONSTRUCTION / TRADES 5 DRIVER / TRANSPORTATION 6 TEACHER 7 OTHER PROFESSIONAL / TECHNICIAN 8 MANAGER 9 CLERK / SECRETARY 999 OTHER Longest wage job - Type of employer 1 NATIONAL GOVERNMENT 2 LOCAL GOVERNMENT 3 NON-GOV'T ORGANIZATION 4 PRIVATE BUSINESS 5 PRIVATE FARM 6 PRIVATE HOUSEHOLD 999 OTHER Longest wage job - Located within community NO 1 YES Longest wage job - Months worked during reference period Less than one full month Longest wage job - Days per month worked Longest wage job - Worked during planting or harvesting 1 NO 2 PLANTING PERIODS ONLY 3 HARVESTING PERIODS ONLY 4 BOTH, PLANTING AND HARVESTING PERIODS Longest wage job - Average payment per pay-period 100001 .A Longest wage job - Pay-period 1 DAY 2 WEEKLY 3 TWICE A MONTH 4 MONTHLY 11 .A Longest wage job - Household member that controls / decides how to use earnings Casual labor - Inside or outside community OUTSIDE COMMUNITY 1 INSIDE COMMUNITY Casual labor - Months worked during reference period Less than one full month Casual labor - Days per month worked Casual labor - Worked during planting or harvesting 1 NO 2 PLANTING PERIODS ONLY 3 HARVESTING PERIODS ONLY 4 BOTH, PLANTING AND HARVESTING PERIODS Casual labor - Average daily wage Casual labor - Household member that controls / decides how to use earnings Migration type 1 FIRST TIME 2 RETURNEE 11 .A Primary activity while away from household 1 FARMING 2 SELF-EMPLOYED 3 WAGE, AGRICULTURAL 4 WAGE, NON-AGRICULTURAL 5 PROFESSIONAL (OFFICE JOB) 6 UNPAID APPRENTICESHIP 7 STUDENT 8 UNEMPLOYED 9 TRADE 10 INFORMAL WORK 999 OTHER 1001 .A Seasonal work or designated times of year NO 1 YES Year in which individual joined/rejoined household 9 Currently away 10001 .A Month in which individual joined/rejoined household 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December 101 .A Upon joining/rejoining household, brought cash for household use NO 1 YES 11 .A Total value of cash for household use Upon joining/rejoining household, brought in-kind goods for household use NO 1 YES 11 .A Interview key (identifier in XX-XX-XX-XX format) Region 1 NORTHEAST 2 SOUTHWEST GDV beneficiary NO 1 YES Harvest was less than planted Number of CROP Best Practices HH is aware of HH is aware of any CROP Best Practices No 1 Yes HH practiced any CROP Best Practices No 1 Yes HH adopted any CROP Best Practices No 1 Yes HH disadopted any CROP Best Practices No 1 Yes Number of LIVESTOCK Best Practices HH is aware of HH is aware of any LIVESTOCK Best Practices No 1 Yes HH practiced any LIVESTOCK Best Practices No 1 Yes HH adopted any LIVESTOCK Best Practices No 1 Yes HH disadopted any LIV Best Practices No 1 Yes Total Land devoted to S1 Ag Share of total land devoted to Ag RECODE of landprep (Main source of power for soil preparation during Season 1) 1 Manual Labor 2 Animal Labor 3 Mechanical Labor Used Organic Fertilizer No 1 Yes Quantity of Organic Fertilizer Used per HA Logged Quantity of Organic Fertilizer Used per HA Used Pesticide Fertilizer No 1 Yes Quantity of Pesticide Fertilizer Used per HA Logged Quantity of Pesticide Fertilizer Used per HA Used Herbicide Fertilizer No 1 Yes Quantity of Herbicide Fertilizer Used per HA Logged Quantity of Herbicide Fertilizer Used per HA Used Chemical Fertilizer No 1 Yes Quantity of Chemical Fertilizer Used per HA Logged Quantity of Chemical Fertilizer Used per HA No 1 Yes Combined Production of Feijao, Milho, and Beans Combined Yield of Feijao, Milho, and Beans Combined Yield of Feijao, Milho, and Beans LOGGED Combined Yield of Feijao, Milho, and Beans LOGGED Combined Production of Feijao, Milho, and Beans Logged total production of Milho Yield for Milho LOGGED Milho Yield Logged total production of Feijao Yield for Feijao LOGGED Feijao Yield Logged total production of Mandioca Yield for Mandioca LOGGED Mandioca Yield Number of Parcels per HH No 1 Yes No 1 Yes No 1 Yes 1 AssetIndex_Durable 1 home_electric 1 YES 2 SOLAR 3 NO 1 home_waterdist 1 housingindex3_mca 1 pindex3_pca 1 LIVESTOCK_N 1 CATTLE_Q 1 GOATSHEEP_Q 1 POULTRY_Q 1 PIG_Q 1 HORSEDONKEY_Q 1 LIVESTOCK_TLU 1 LIVESTOCK_MBP 1 lindex3_pca 1 oindex3_poly 2 AssetIndex_Durable 2 home_electric 1 YES 2 SOLAR 3 NO 2 home_waterdist 2 housingindex3_mca 2 pindex3_pca 2 LIVESTOCK_N 2 CATTLE_Q 2 GOATSHEEP_Q 2 POULTRY_Q 2 PIG_Q 2 HORSEDONKEY_Q 2 LIVESTOCK_TLU 2 LIVESTOCK_MBP 2 lindex3_pca 2 oindex3_poly 10001 .A Value of production with full prices Value of production with full prices Roster instance identifier 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 PITANGA 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 90 ACEROLA 999 OTHER (SPECIFY) Value of production with full prices Id in "parcelroster_hg" Id in "treeroster2" Crop planted in dedicated area or spread throughout plot 1 Dedicated Area 2 Spread Throughout Portion of plot planted with crop 1 Less than 1/4 2 1/4 3 1/2 4 3/4 5 The whole area of plot Number of trees/crops placed on plot 1000001 .A Year in which most of the crops were planted on plot 888 Don't know 10001 .A Number of crops planted on plot during season Number of crop harvested from plot during season Harvest unit 1 KG 2 TON 3 GRAM 4 BAG (NON-LIQUID) Harvest unit in KG Quantity harvested Area harvested less than area planted No 1 Yes Reason area harvested less than area planted 1 Drought 2 Irregular Rains 3 Floods 4 Landslides 5 Fire 6 Insects 7 Animals 8 Disease 9 Theft 999 Other, Specify 1001 .A Household member that decided how to use crop harvested from plot 1 Household member that decided how to use crop harvested from plot 2 Quantity harvested Roster instance identifier 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 PITANGA 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 90 ACEROLA 999 OTHER (SPECIFY) Value of production with full prices Total Crop income per household: Consumption, Sales, and other uses Total Crop Sales Value of Total Cultivation using Imputed Prices LOGGED Value of Total Cultivation using Imputed Prices Value of production with full prices Value of production with full prices Value of production with full prices Value of Total Cultivation using Winsorized Imputed Prices LOGGED Value of Total Cultivation using Winsorized Imputed Prices HH Sold Any Cultivated Crops No 1 Yes Proportion of Cultivated Crop Value Sold / Produced Total Livestock Sales Total Livestock income per household: Consumption & Sales Total Livestock income per household: Consumption & Sales HH Sold ANY Livestock No 1 Yes Total Byproduct Sales HH Sold ANY Livestock Byproducts No 1 Yes Value of Total Agricultural Sale: Crops, Livestock, Byproducts LOGGED Value of Total Agricultural Sale: Crops, Livestock, Byproducts TOTAL CULTIVATION CROP WINSORIZED Prices + AG SALES + BYP SALES LOGGED RIGA_Income LOGGED RIGA_Income2 LOGGED RIGA_Income3 Roster instance identifier 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 PITANGA 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 90 ACEROLA 999 OTHER (SPECIFY) Roster instance identifier 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 PITANGA 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 90 ACEROLA 999 OTHER (SPECIFY) Roster instance identifier 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 PITANGA 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 90 ACEROLA 999 OTHER (SPECIFY) Household cultivated in Dry season No 1 Yes # of opportunities for cultivation: Season x Crop 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 PITANGA 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 90 ACEROLA 999 OTHER (SPECIFY) Number of Crops Cultivated by Household # Crops cultivated out of total possible Household Grows Palma No 1 Yes Household Grows NativeCrop No 1 Yes Household Grows CashCrop No 1 Yes AssetIndex_Durable1 NQ4 housingindex3_mca1 NQ4 lindex3_pca1 NQ4 pindex3_pca1 NQ4 oindex3_poly1 NQ4 wealth wealth wealth wealth wealth Economic Mobility: Asset Economic Mobility: Housing Economic Mobility: Livestock Economic Mobility: Productive Economic Mobility: Overall Consent No 1 Yes Raw Food Insecurity Experience Score FAO Household Dietary Diversity Score: Sum of 12 food groups No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes Monthly Food Expenditure LOGGED Monthly Food Expenditure No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes Number of groups HH participates in Anyone from HH participates in a group No 1 Yes Woman from HH participates in a group No 1 Yes Youth from HH participates in a group No 1 Yes Anyone from HH participates in an Income group No 1 Yes Woman from HH participates in an Income group No 1 Yes Youth from HH participates in an Income group No 1 Yes 1 1 2 2 3 3 4 4 5 5 6 6 7 >=7 Sex 1 MALE 2 FEMALE 3 TRANSGENDER/ TRANSSEXUAL Race 1 BRANCO 2 MORENO 3 PARDO 4 AMARELO 5 PRETO 6 QUILOMBO 7 INDIGENOUS 8 BLACK 999 OTHER, SPECIFY Religion 1 NONE 2 CATHOLIC 3 EVANGELICAL 4 UMBANDA 5 CANDOMBLÉ 999 OTHER Able to read in local language 1 No 2 Yes, with difficulties 3 Yes, mostly 4 Yes, fluently Able to write in local language 1 No 2 Yes, with difficulties 3 Yes, mostly 4 Yes, fluently Highest educ. qualification NONE 1 PRESCHOOL 2 PRIMARY SCHOOL- YEARS 1-3 3 PRIMARY SCHOOL - YEARS 4-6 4 PRIMARY SCHOOL - YEARS 7-9 5 PRIMARY SCHOOL 2 - COLEGIAL 6 PRIMARY SCHOOL 2 - TECHNICAL SCHOOL 7 HIGHER THAN PRIMARY SCHOOL 2 Civil Status 1 MARRIED 2 NO LONGER MARRIED 3 NEVER MARRIED 4 NON-FORMAL UNION Number of individuals migrating out Number of individuals migrating out Household has access to irrigation NO 1 YES Primary source of water for irrigation 1 CANAL 2 BOREHOLE 3 WELL 4 RIVER / STREAM 5 POND / LAKE 6 WATER TANK 7 CISTERN 999 OTHER, SPECIFY Primary source of water for irrigation (Other) Primary method of distributing water for irrigation on plot 1 HAND / BUCKET 2 HAND PUMP 3 MOTORIZED / ELECTRICAL PUMP 4 FLOODING 5 CISTERN 6 WATER TANK 999 OTHER, SPECIFY Primary method of distributing water for irrigation on plot (Other) Irrigation system is part of community irrigation scheme NO 1 YES Irrigation system built under Gente de Valor NO 1 YES Irrigation system built before 2007 NO 1 YES Timing of water from irrigation system was adequate for production NO 1 YES Extent that amount of water from irrigation system was adequate for production 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 SELDOM 5 NEVER Extent to which water from irrigation system was of good quality 1 Very Good 2 Good 3 Adequate 4 Bad 5 Very Bad Household aware of soil conservation measure - Reforestation No 1 Yes Household aware of soil conservation measure - Recaatingamento No 1 Yes Household aware of soil conservation measure - Aterramento No 1 Yes Household aware of soil conservation measure - Faixa de grama No 1 Yes Household aware of soil conservation measure - No-till farming No 1 Yes Household aware of soil conservation measure - Agrofloresta No 1 Yes Household aware of soil conservation measure - None No 1 Yes Household aware of livestock conservation measure - Rotation grazing No 1 Yes Household aware of livestock conservation measure - Reproductive management No 1 Yes Household aware of livestock conservation measure - Infrastructure No 1 Yes Household aware of livestock conservation measure - Feed storage No 1 Yes Household aware of livestock conservation measure - None No 1 Yes Household currently produce crops or livestock for contract NO 1 YES Reasons household does NOT produce for contract - Lacks capacity to grow quantit No 1 Yes Reasons household does NOT produce for contract - Lacks capacity to grow quality No 1 Yes Reasons household does NOT produce for contract - Not aware of prices No 1 Yes Reasons household does NOT produce for contract - Prices not sufficient No 1 Yes Reasons household does NOT produce for contract - Never offered a contract No 1 Yes Reasons household does NOT produce for contract - Never sought a contract No 1 Yes Reasons household does NOT produce for contract - Worried about risk No 1 Yes Reasons household does NOT produce for contract - Bad personal experience No 1 Yes Reasons household does NOT produce for contract - Not aware that contracts exist No 1 Yes Reason shousehold does NOT produce for contract - Prefer to grow certain crops No 1 Yes Reasons household does NOT produce for contract - Don't want to enter contract No 1 Yes Reasons household does NOT produce for contract - No local opportunities No 1 Yes Hypothetical contract - Preferred crop 1 PINEAPPLE 2 COTTON 3 PEANUT 4 PIGEON PEA (ANDU / GUANDU) 5 ARIRI 6 RICE 7 BANANA 8 PLANTAIN 9 POTATO 10 SWEET POTATO 11 EGGPLANT 12 RUBBER 13 GOURD (CABACA) 14 CACAO 15 COFFEE 16 HOG PLUM (CAJA) 17 CAJARANA 18 CASHEW 19 SUGARCANE 20 CASHEW NUT 21 ONION 22 CARROT 23 CAULIFLOWER 24 COCONUT 25 PEAS 26 SPINACH 27 FAVA BEANS 28 BEANS 29 GREEN BEANS 30 TOBACCO 31 GUAVA 32 JACKFRUIT 33 ORANGE 34 LIME (LIMA) 35 LIME (LIMAO) 36 PAPAYA 37 CASTOR SEED 38 CASSAVA 39 MANGO 40 MANGABA 41 PASSIONFRUIT 42 WATERMELON 43 CORN 44 SQUASH (MORANGA) 45 MURICI 46 RAPESEED (NABO) 47 CUCUMBER 48 PEPPER 49 BRAZILIAN CHERRY (PITANGA) 50 RADISH 51 CABBAGE 52 POMEGRANATE 53 SISAL 54 SOYBEAN 55 SORGHUM 56 TOMATO 57 WHEAT 58 UMBU 59 PUMPKIN 60 ZUCCHINI 61 CHARD 62 LETTUCE 63 GARLIC 64 BEET 65 BROCCOLI 66 CHIVES 67 CHICORY 68 CHAYOTE (CHUCHU) 69 CILANTRO 70 COLLARD GREENS 71 EUCALYPTUS 72 SUGAR APPLE (FRUTA DO CONDE) 73 SCARLET EGGPLANT (JILO) 74 LICURI PALM 75 CACKREY (MAXIXE) 76 MELON 77 MANDARIN ORANGE 78 OTHER (SPECIFY) 79 COCONUT (PALMA) 80 NOPAL (PALMA FORRAGEIRA) 81 BELL PEPPER 82 OKRA 83 PARSLEY 101 .A Hypothetical contract - Price per KG 1001 .A Household sets prices when working with buyers NO 1 YES Reasons household does NOT set prices - Use known price No 1 Yes Reasons household does NOT set prices - Use cooperative price No 1 Yes Reasons household does NOT set prices - Not confident to set price No 1 Yes Reasons household does NOT set prices - Unsure of price No 1 Yes Reasons household does NOT set prices - Fear of losing buyer No 1 Yes Reasons household does NOT set prices - Don't know of other buyers No 1 Yes Reasons household does NOT set prices - Need money No 1 Yes Reasons household does NOT set prices - Limited capacity to produce No 1 Yes Development assistance programs - Garantia Safra No 1 Yes Development assistance programs - PRONAF No 1 Yes Development assistance programs - Seguro Agricultura Familiar No 1 Yes Development assistance programs - PAA / PAA Leite No 1 Yes Development assistance programs - PNAE No 1 Yes Development assistance programs - Curso do Sistema S (SENAR, SENAI, SEBRAE) No 1 Yes Development assistance programs - Produzir No 1 Yes Development assistance programs - Bolsa Família No 1 Yes Development assistance programs - Terra de Valor No 1 Yes Development assistance programs - None No 1 Yes Recall period (Interview Date - 7 Days) GDV assistance - Productive gardens No 1 Yes GDV assistance - Water for human consumption No 1 Yes GDV assistance - Water for production No 1 Yes GDV assistance - Continued technical assistance (agriculture, livestock) No 1 Yes GDV assistance - Specialized technical assistance (processing) No 1 Yes GDV assistance - Specialized technical assistance (crafts) No 1 Yes GDV assistance - Production infrastructure No 1 Yes GDV assistance - Equipment kits for agriculture, livestock, apiculture No 1 Yes GDV assistance - Processing unit No 1 Yes GDV assistance - Artisan kits No 1 Yes GDV assistance - Household goods (anaerobic digester, ecological stove) No 1 Yes GDV assistance - Production training (agricultural and livestock management) No 1 Yes GDV assistance - Social training (community organizing, gender, youth) No 1 Yes Participation in GDV met needs as expected 1 NEEDS MET, NOW HAVE NEW NEEDS 2 NEEDS MET 3 NEEDS SOMEWHAT MET 4 NEEDS NOT MET 5 NEEDS NOT AT ALL MET Perceived impact of GDV on household NO IMPACT 1 CLEAR POSITIVE IMPACT 2 CLEAR NEGATIVE IMPACT 3 BOTH POSITIVE & NEGATIVE 4 MINIMAL POSITIVE IMPACT 5 MINIMAL NEGATIVE IMPACT Positive impact on household - Increased income No 1 Yes Positive impact on household - Household assets No 1 Yes Positive impact on household - Livestock assets No 1 Yes Positive impact on household - Land size No 1 Yes Positive impact on household - Housing No 1 Yes Positive impact on household - Dietary diversity No 1 Yes Positive impact on household - Resilience to shocks No 1 Yes Positive impact on household - Agricultural production No 1 Yes Positive impact on household - Input adoption No 1 Yes Positive impact on household - Water access/consumption No 1 Yes Positive impact on household - Irrigation for livestock No 1 Yes Positive impact on household - Time use No 1 Yes Positive impact on household - Crop choice No 1 Yes Positive impact on household - Market engagement No 1 Yes Positive impact on household - Engagement in decision-making No 1 Yes Positive impact on household - Community cohesion No 1 Yes Positive impact on household - Coordination with public/private entities No 1 Yes Positive impact on household - School services No 1 Yes Positive impact on household - Health services No 1 Yes Positive impact on household - Empowerment / Pride No 1 Yes Positive impact on household - Job opportunities No 1 Yes Positive impact on household - Motivation for change/improvement No 1 Yes Positive impact on youth - Increased income No 1 Yes Positive impact on youth - Household assets No 1 Yes Positive impact on youth - Livestock assets No 1 Yes Positive impact on youth - Land size No 1 Yes Positive impact on youth - Housing No 1 Yes Positive impact on youth - Dietary diversity No 1 Yes Positive impact on youth - Resilience to shocks No 1 Yes Positive impact on youth - Agricultural production No 1 Yes Positive impact on youth - Input adoption No 1 Yes Positive impact on youth - Water access/consumption No 1 Yes Positive impact on youth - Irrigation for livestock No 1 Yes Positive impact on youth - Time use No 1 Yes Positive impact on youth - Crop choice No 1 Yes Positive impact on youth - Market engagement No 1 Yes Positive impact on youth - Engagement in decision-making No 1 Yes Positive impact on youth - Community cohesion No 1 Yes Positive impact on youth - Coordination with public/private entities No 1 Yes Positive impact on youth - School services No 1 Yes Positive impact on youth - Health services No 1 Yes Positive impact on youth - Empowerment / Pride No 1 Yes Positive impact on youth - Job opportunities No 1 Yes Positive impact on youth - Motivation for change/improvement No 1 Yes Positive impact on women - Increased income No 1 Yes Positive impact on women - Household assets No 1 Yes Positive impact on women - Livestock assets No 1 Yes Positive impact on women - Land size No 1 Yes Positive impact on women - Housing No 1 Yes Positive impact on women - Dietary diversity No 1 Yes Positive impact on women - Resilience to shocks No 1 Yes Positive impact on women - Agricultural production No 1 Yes Positive impact on women - Input adoption No 1 Yes Positive impact on women - Water access/consumption No 1 Yes Positive impact on women - Irrigation for livestock No 1 Yes Positive impact on women - Time use No 1 Yes Positive impact on women - Crop choice No 1 Yes Positive impact on women - Market engagement No 1 Yes Positive impact on women - Engagement in decision-making No 1 Yes Positive impact on women - Community cohesion No 1 Yes Positive impact on women - Coordination with public/private entities Positive impact on women - School services No 1 Yes Positive impact on women - Health services No 1 Yes Positive impact on women - Empowerment / Pride No 1 Yes Positive impact on women - Job opportunities No 1 Yes Positive impact on women - Motivation for change/improvement No 1 Yes Positive impact on community - Increased income No 1 Yes Positive impact on community - Household assets No 1 Yes Positive impact on community - Livestock assets No 1 Yes Positive impact on community - Land size No 1 Yes Positive impact on community - Housing No 1 Yes Positive impact on community - Dietary diversity No 1 Yes Positive impact on community - Resilience to shocks No 1 Yes Positive impact on community - Agricultural production No 1 Yes Positive impact on community - Input adoption No 1 Yes Positive impact on community - Water access/consumption No 1 Yes Positive impact on community - Irrigation for livestock No 1 Yes Positive impact on community - Time use No 1 Yes Positive impact on community - Crop choice No 1 Yes Positive impact on community - Market engagement No 1 Yes Positive impact on community - Engagement in decision-making No 1 Yes Positive impact on community - Community cohesion No 1 Yes Positive impact on community - Coordination with public/private entities No 1 Yes Positive impact on community - School services No 1 Yes Positive impact on community - Health services No 1 Yes Positive impact on community - Empowerment / Pride No 1 Yes Positive impact on community - Job opportunities No 1 Yes Positive impact on community - Motivation for change/improvement No 1 Yes Negative impact on household - Decreased income No 1 Yes Negative impact on household - Household assets No 1 Yes Negative impact on household - Livestock assets No 1 Yes Negative impact on household - Land size No 1 Yes Negative impact on household - Housing No 1 Yes Negative impact on household - Dietary diversity No 1 Yes Negative impact on household - Resilience to shocks No 1 Yes Negative impact on household - Agricultural production No 1 Yes Negative impact on household - Input adoption No 1 Yes Negative impact on household - Water access/consumption No 1 Yes Negative impact on household - Water for agriculture No 1 Yes Negative impact on household - Time use No 1 Yes Negative impact on household - Crop choice No 1 Yes Negative impact on household - Market engagement No 1 Yes Negative impact on household - Engagement in decision-making No 1 Yes Negative impact on household - Community cohesion No 1 Yes Negative impact on household - Coordination with public/private entities No 1 Yes Negative impact on household - School services Negative impact on household - Health services No 1 Yes Negative impact on household - Empowerment / Pride Negative impact on household - Job opportunities No 1 Yes Negative impact on household - Motivation for change/improvement No 1 Yes Negative impact on youth - Decreased income No 1 Yes Negative impact on youth - Household assets No 1 Yes Negative impact on youth - Livestock assets No 1 Yes Negative impact on youth - Land size No 1 Yes Negative impact on youth - Housing No 1 Yes Negative impact on youth - Dietary diversity Negative impact on youth - Resilience to shocks No 1 Yes Negative impact on youth - Agricultural production No 1 Yes Negative impact on youth - Input adoption No 1 Yes Negative impact on youth - Water access/consumption No 1 Yes Negative impact on youth - Water for agriculture No 1 Yes Negative impact on youth - Time use No 1 Yes Negative impact on youth - Crop choice No 1 Yes Negative impact on youth - Market engagement No 1 Yes Negative impact on youth - Engagement in decision-making No 1 Yes Negative impact on youth - Community cohesion Negative impact on youth - Coordination with public/private entities No 1 Yes Negative impact on youth - School services Negative impact on youth - Health services No 1 Yes Negative impact on youth - Empowerment / Pride No 1 Yes Negative impact on youth - Job opportunities No 1 Yes Negative impact on youth - Motivation for change/improvement No 1 Yes Negative impact on women - Decreased income No 1 Yes Negative impact on women - Household assets No 1 Yes Negative impact on women - Livestock assets No 1 Yes Negative impact on women - Land size No 1 Yes Negative impact on women - Housing No 1 Yes Negative impact on women - Dietary diversity Negative impact on women - Resilience to shocks No 1 Yes Negative impact on women - Agricultural production No 1 Yes Negative impact on women - Input adoption No 1 Yes Negative impact on women - Water access/consumption No 1 Yes Negative impact on women - Water for agriculture No 1 Yes Negative impact on women - Time use No 1 Yes Negative impact on women - Crop choice Negative impact on women - Market engagement No 1 Yes Negative impact on women - Engagement in decision-making No 1 Yes Negative impact on women - Community cohesion No 1 Yes Negative impact on women - Coordination with public/private entities No 1 Yes Negative impact on women - School services No 1 Yes Negative impact on women - Health services No 1 Yes Negative impact on women - Empowerment / Pride Negative impact on women - Job opportunities No 1 Yes Negative impact on women - Motivation for change/improvement No 1 Yes Negative impact on community - Decreased income No 1 Yes Negative impact on community - Household assets No 1 Yes Negative impact on community - Livestock assets No 1 Yes Negative impact on community - Land size No 1 Yes Negative impact on community - Housing No 1 Yes Negative impact on community - Dietary diversity No 1 Yes Negative impact on community - Resilience to shocks No 1 Yes Negative impact on community - Agricultural production No 1 Yes Negative impact on community - Input adoption No 1 Yes Negative impact on community - Water access/consumption No 1 Yes Negative impact on community - Water for agriculture No 1 Yes Negative impact on community - Time use No 1 Yes Negative impact on community - Crop choice No 1 Yes Negative impact on community - Market engagement No 1 Yes Negative impact on community - Engagement in decision-making No 1 Yes Negative impact on community - Community cohesion Negative impact on community - Coordination with public/private entities No 1 Yes Negative impact on community - School services Negative impact on community - Health services No 1 Yes Negative impact on community - Empowerment / Pride No 1 Yes Negative impact on community - Job opportunities No 1 Yes Negative impact on community - Motivation for change/improvement No 1 Yes Household participation in GDV - Contributed to intervention selection No 1 Yes Household participation in GDV - Provided implementation leadership No 1 Yes Household participation in GDV - Attended meetings No 1 Yes Household participation in GDV - Selected beneficiaries No 1 Yes Household participation in GDV - Knowledge about project costs No 1 Yes Extent to which household's interests represented by community GDV participation 1 VERY WELL REPRESENTED 2 WELL REPRESENTED 3 SOMEWHAT REPRESENTED 4 NOT VERY REPRESENTED 5 IGNORED/NOT INCLUDED No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes HH_AgIncome HOUSEHOLD: Total WAGE Income Total Household Enterprise Income HH_AgIncome RIGA Income Raw RIGA Income of Winsorized Values Replace HH_Income with 850 minimum transfer Replace HH_Income_Wins with 850 minimum transfer Winsorized RIGA Income of RAW components Winsorized RIGA Income of winsorized components Winsorized Riga Income of RAW components + Bolsa Winsorized RIGA Income of winsorized components + Bolsa Income share of HH_TotalIncome_Work_w Income share of HH_EntIncome_w Income share of HH_Transfer_w_Bolsa Income share of HH_RentalIncome_w Income share of HH_AgIncome_w # of income sources - max. 4 Margaleff & Berger Parker Income Diversification Per Capita Income - HH_Income Per Capita Income - HH_Income_Wins Per Capita Income - HH_Income_Bolsa Per Capita Income - HH_Income_Wins_Bolsa Per Capita Income - HH_Income_w Per Capita Income - HH_Income_Wins_w Per Capita Income - HH_Income_Bolsa_w Per Capita Income - HH_Income_Wins_Bolsa_w Per Capita Income - HH_IncomeTypeNum Per Capita Income - HH_Income_MBP # of shocks types HH experienced No 1 Yes Ability to Recover from Schocks Ability to Recover from Schocks 2 Ability to Recover from DROUGHT Ability to Recover from DROUGHT 2 Freqency X Severity Drought # of school age children (5-18) in household % of eligible children (5-18) attending school in HH No 1 Yes No 1 Yes No 1 Yes 1 Water Only 2 TATI Only 3 HG Only 4 Water & TI 5 Water & HG 6 TATI & HG 7 Water, TATI, HG # Caixa de agua BASELINE # Caixa de agua HH gained a caixa de agua since baseline No 1 Yes # Cisterna BASELINE # Cisterna HH gained FIRST cisterna since baseline No 1 Yes Who built Cisterna 1 Gente de Valor 2 1 Million Cisterns / P1MC 3 Government of Bahia 999 OTHER (SPECIFY) cistern_org No 1 Yes Household has access to irrigation NO 1 YES Primary source of water for irrigation 1 CANAL 2 BOREHOLE 3 WELL 4 RIVER / STREAM 5 POND / LAKE 6 WATER TANK 7 CISTERN 999 OTHER, SPECIFY Irrigation system built under Gente de Valor NO 1 YES home_electric1==YES No 1 Yes home_electric1==SOLAR No 1 Yes home_electric1==NO No 1 Yes LOGGED Total Crop Sales LOGGED Total Livestock Sales LOGGED Total Byproduct Sales No 1 Yes 20 quantiles of TotalLand_HA No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes No 1 Yes Distance to nearest primary school serving community (KM) INSIDE COMMUNITY 777 BEYOND 10 KM BUT INSIDE MUNICIPALITY 888 OUTSIDE MUNICIPALITY 999 SALVADOR Distance to nearest primary school serving community (KM) INSIDE COMMUNITY 777 BEYOND 10 KM BUT INSIDE MUNICIPALITY 888 OUTSIDE MUNICIPALITY 999 SALVADOR psmatch2: Propensity Score psmatch2: Treatment assignment Untreated 1 Treated psmatch2: Common support Off support 1 On support psmatch2: weight of matched controls psmatch2: Identifier (ID) psmatch2: ID of nearest neighbor nr. 1 psmatch2: # matched neighbors No 1 Yes psmatch2: abs(pscore - pscore[nearest neighbor])