FINAL6template_2011_FINDEX_v01_M DDI_AFG_2011_FINDEX_v02_M_WB Development Economics Data Group 2015-04-08 Nesstar Publisher Version 02 (April 2015) - DDI updated to include the modifications to the inc_q data. This updated version also includes modifications to the Series information, Abstract, Scope and Sampling procedure metadata fields to match the number of economies included in the dataset. FINAL6template_2011_FINDEX_v01_M Global Financial Inclusion (Global Findex) Database 2011 FINDEX 2011 AFG_2011_FINDEX_v02_M Development Research Group, Finance and Private Sector Development Unit Gallup, Inc. 2012-05-22 Nesstar Publisher Development Research Group, World Bank The Bill and Melinda Gates Foundation Global Findex Development Research Group, Finance and Private Sector Development Unit Afghanistan National Coverage. Individual The target population is the civilian, non-institutionalized population 15 years and above. Sample survey data [ssd] The Global Findex database includes indicators measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. More specifically, the database includes indicators on the use of formal accounts, the frequency of formal account use, mode of formal account use (ATM, bank, bank agent, etc.), purposes of formal account use (remittances, government payments, wage payments, etc.), self-reported reasons for not having a formal account, savings behavior, savings method (bank, informal savings club, etc.), sources of borrowing (bank, friends/family, informal lender, etc.), purposes of borrowing (home purchase, school fees, emergency/health, funerals/weddings), the use of mobile phones to make payments, and the purchase of health and agriculture insurance. Face-to-face [f2f] Interviews were conducted in the following languages: Dari, Pashto. Data weighting is used to ensure a nationally representative sample for each economy. First, base sampling weights are constructed to account for oversamples and household size. If an oversample has been conducted, the data are weighted to correct the disproportionate sample. Weighting by household size (number of residents age 15 and above) is used to adjust for the probability of selection, as residents in large households will have a disproportionately lower probability of being selected for the sample. Second, poststratification weights are constructed. Population statistics are used to weight the data by gender, age, and, where reliable data are available, education or socioeconomic status. Estimates of standard errors (which account for sampling error) vary by country and indicator. For country- and indicator-specific standard errors, refer to the Annex and Country Table in Demirguc-Kunt, Asli and L. Klapper. 2012. "Measuring Financial Inclusion: The Global Findex." Policy Research Working Paper 6025, World Bank, Washington, D.C. Global Findex The reference citation for the Global Findex data is as follows: Development Research Group, Finance and Private Sector Development Unit 2011. Measuring Financial Inclusion: The Global Findex Database 2011. Ref: AFG_2011_FINDEX_v02_M. World Bank, Washington, D.C. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. micro_AFG.NSDstat 1000 50 Nesstar 200801 Economy 1000 0 Afghanistan 1000 Economy code 1000 0 AFG 1000 wgt weight 1000 0 0.347 3.678 Respondent is female 1000 0 1 2 1 1 male 500 2 2 female 500 Respondent age 1000 0 15 85 15 15 31 16 16 41 17 17 37 18 18 57 19 19 50 20 20 70 21 21 27 22 22 32 23 23 26 24 24 22 25 25 48 26 26 22 27 27 16 28 28 28 29 29 19 30 30 50 31 31 13 32 32 31 33 33 12 34 34 6 35 35 28 36 36 18 37 37 15 38 38 26 39 39 15 40 40 40 41 41 15 42 42 13 43 43 10 44 44 7 45 45 23 46 46 9 47 47 11 48 48 11 49 49 8 50 50 22 51 51 7 52 52 5 53 53 5 54 54 4 55 55 13 56 56 5 57 57 3 58 58 4 59 59 2 60 60 11 61 61 3 62 62 1 63 63 1 64 64 0 65 65 10 66 66 1 67 67 0 68 68 1 69 69 2 70 70 5 71 71 1 72 72 0 73 73 3 74 74 0 75 75 1 76 76 0 77 77 0 78 78 0 79 79 0 80 80 1 81 81 0 82 82 0 83 83 1 84 84 0 85 85 1 86 86 0 87 87 0 88 88 0 89 89 0 90 90 0 91 91 0 92 92 0 93 93 0 94 94 0 95 95 0 96 96 0 97 97 0 98 98 0 99 99+ 0 Respondent education level 1000 0 1 3 1 completed primary or less 715 2 secondary 268 3 completed tertiary or more 17 4 (dk) 0 5 (rf) 0 Within-economy income quintile 1000 0 1 5 1 1 poorest 20% 147 2 2 second 20% 175 3 3 middle 20% 199 4 4 fourth 20% 230 5 5 richest 20% 249 Has an account at a financial instititution 1000 0 1 4 1 yes 141 2 no 825 3 (dk) 0 4 (ref) 34 Has an account at a financial institution/post office/MFI (composite indicator) 1000 0 1 2 1 yes 141 2 no 859 3 dk/ref 0 If has account: purpose of account 141 859 1 3 1 1 personal transactions 96 2 2 business purposes 6 3 3 both 39 4 4 (dk) 0 5 5 (refused) 0 Sysmiss 859 Has a debit card 1000 0 1 2 1 yes 69 2 no 931 3 (dk) 0 4 (ref) 0 Has a credit card 1000 0 1 2 1 yes 17 2 no 983 3 (dk) 0 4 (ref) 0 If has account: number of monthly deposits into account 141 859 1 6 1 1 0 34 2 2 1 - 2 times 91 3 3 3 - 5 times 7 4 4 6 times or more 3 5 5 (dk) 0 6 6 (refused) 6 Sysmiss 859 If has account: number of monthly withdrawals from account 141 859 1 6 1 1 0 30 2 2 1 - 2 times 73 3 3 3 - 5 times 23 4 4 6 times or more 9 5 5 (dk) 0 6 6 (refused) 6 Sysmiss 859 If has account: most frequent mode of cash withdrawal 141 859 1 7 1 1 at an atm 7 2 2 over the counter in a branch of your bank or financial institution 117 3 3 over the counter at a retail store, or 0 4 4 from some other person who is associated with your bank or financial institution 0 5 5 (do not withdraw cash) 9 6 6 (dk) 0 7 7 (refused) 8 Sysmiss 859 If has account: most frequent mode of cash deposit 141 859 2 7 1 1 at an atm 0 2 2 over the counter in a branch of your bank or financial institution 127 3 3 over the counter at a retail store, or 0 4 4 using some other person who is associated with your bank or financial institution 0 5 5 (do not deposit cash) 6 6 6 (dk) 0 7 7 (refused) 8 Sysmiss 859 If has account: uses checks 141 859 1 2 1 yes 8 2 no 133 3 (dk) 0 4 (ref) 0 Sysmiss 859 If has account: uses electronic payments 141 859 1 2 1 yes 5 2 no 136 3 (dk) 0 4 (ref) 0 Sysmiss 859 If has account: uses it to receive work payments 141 859 1 2 1 yes 109 2 no 32 3 (dk) 0 4 (ref) 0 Sysmiss 859 If has account: uses it to receive gov't payments 141 859 1 2 1 yes 38 2 no 103 3 (dk) 0 4 (ref) 0 Sysmiss 859 If has account: uses it to receive money from family 141 859 1 2 1 yes 20 2 no 121 3 (dk) 0 4 (ref) 0 Sysmiss 859 If has account: uses it to send money to family 141 859 1 2 1 yes 2 2 no 139 3 (dk) 0 4 (ref) 0 Sysmiss 859 If does not have account: b/c too far away 859 141 1 3 1 yes 322 2 no 422 3 (dk) 115 4 (ref) 0 Sysmiss 141 If does not have account: b/c too expensive 859 141 1 3 1 yes 312 2 no 387 3 (dk) 160 4 (ref) 0 Sysmiss 141 If does not have account: b/c lack documentation 859 141 1 2 1 yes 289 2 no 570 3 (dk) 0 4 (ref) 0 Sysmiss 141 If does not have account: b/c lack trust 859 141 1 2 1 yes 311 2 no 548 3 (dk) 0 4 (ref) 0 Sysmiss 141 If does not have account: b/c lack of money 859 141 1 2 1 yes 342 2 no 517 3 (dk) 0 4 (ref) 0 Sysmiss 141 If does not have account: b/c religious reasons 859 141 1 3 1 yes 268 2 no 493 3 (dk) 98 4 (ref) 0 Sysmiss 141 If does not have account: b/c family member already has one 859 141 1 3 1 yes 132 2 no 714 3 (dk) 13 4 (ref) 0 Sysmiss 141 Has saved money in the past 12 months 1000 0 1 4 1 yes 173 2 no 814 3 (dk) 0 4 (ref) 13 If saved: saved for future expenses (education, wedding) 173 827 1 2 1 yes 114 2 no 59 3 (dk) 0 4 (ref) 0 Sysmiss 827 If saved: saved for emergencies 173 827 1 2 1 yes 127 2 no 46 3 (dk) 0 4 (ref) 0 Sysmiss 827 If saved: saved at a financial institution 173 827 1 2 1 yes 53 2 no 120 3 (dk) 0 4 (ref) 0 Sysmiss 827 If saved: saved using a savings club 173 827 1 2 1 yes 33 2 no 140 3 (dk) 0 4 (ref) 0 Sysmiss 827 Borrowed money from financial institution in past 12 months 1000 0 1 2 1 yes 78 2 no 922 3 (dk) 0 4 (ref) 0 Borrowed money from a store (store credit) in past 12 months 1000 0 1 2 1 yes 85 2 no 915 3 (dk) 0 4 (ref) 0 Borrowed money from family or friends in past 12 months 1000 0 1 2 1 yes 296 2 no 704 3 (dk) 0 4 (ref) 0 Borrowed money from employer in past 12 months 1000 0 1 2 1 yes 84 2 no 916 3 (dk) 0 4 (ref) 0 Borrowed money from another private lender in past 12 months 1000 0 1 2 1 yes 65 2 no 935 3 (dk) 0 4 (ref) 0 Currently has loan for home purchase 1000 0 1 2 1 yes 86 2 no 914 3 (dk) 0 4 (ref) 0 Personally has health insurance in addition to nat'l insurance 1000 0 1 2 1 yes 2 2 no 998 3 (dk) 0 4 (ref) 0 If has insurance: has personally purchased insurance 2 998 1 1 1 yes 2 2 no 0 3 (dk) 0 4 (ref) 0 Sysmiss 998 If ag worker: has personally paid for crop/rainfall/livestock insurance 132 868 1 2 1 yes 13 2 no 119 3 (dk) 0 4 (ref) 0 Sysmiss 868 Currently has loan for home construction 1000 0 1 2 1 yes 155 2 no 845 3 (dk) 0 4 (ref) 0 Currently has loan for school fees 1000 0 1 2 1 yes 8 2 no 992 3 (dk) 0 4 (ref) 0 Currently has loan for emergency/health purposes 1000 0 1 2 1 yes 266 2 no 734 3 (dk) 0 4 (ref) 0 Currently has loan for funeral/wedding 1000 0 1 2 1 yes 284 2 no 716 3 (dk) 0 4 (ref) 0 Has used a mobile phone to pay bills in past 12 months 1000 0 2 2 1 yes 0 2 no 1000 3 (dk) 0 4 (ref) 0 Has used a mobile phone to send money in past 12 months 1000 0 1 2 1 yes 63 2 no 937 3 (dk) 0 4 (ref) 0 Has used a mobile phone to receive money in past 12 months 1000 0 1 2 1 yes 130 2 no 870 3 (dk) 0 4 (ref) 0