Targeting the Ultra-Poor Program in Afghanistan, Baseline and Follow-up Surveys, 2016 - 2018
Baseline and Follow-up
Afghanistan, 2016
Get Microdata
Reference ID
AFG_2016-2018_TUP_v01_M
Producer(s)
Guadalupe Bedoya, Aidan Coville, Johannes Haushofer, Jeremy Shapiro
Metadata
Created on
Jan 30, 2026
Last modified
Jan 30, 2026
Page views
31760
Downloads
296
- Data files
- all_hh_nopii_bl
- all_hh_nopii_fl1
- br_hhmemcurrent_fl1
- b_hhmemcurrent_bl
- b_hhmemleftsincebl_fl1
- c_a_foodconsumption_bl
- c_a_foodconsumption_fl1
- c_c_nonfoodconsumption_bl
- c_c_nonfoodconsumption_fl1
- d_a_transfergiven_bl
- d_a_transfergiven_fl1
- d_b_transferrecd_bl
- d_b_transferrecd_fl1
- g_shocks_bl
- g_shocks_fl1
- k_a_livestock_bl
- k_a_livestock_fl1
- k_b_animalproduct_bl
- k_b_animalproduct_fl1
- k_c_crops_bl
- k_c_crops_fl1
- k_d_nonagbiz_bl
- k_d_nonagbiz_fl1
- k_e_timeuse_bl
- k_e_timeuse_fl1
- l_hhassets_bl
- l_hhassets_fl1
- m_b_loans_bl
- m_b_loans_fl1
- r_b_animalproduct_tup_fl1
- v_mobile_fl1
- market_clean_bl
- market_clean_fl1
- village_clean_bl
Who mostly operates [business #]? (k42)
Data file: k_d_nonagbiz_fl1
Overview
Valid:
802
Invalid:
41613
Minimum:
1
Maximum:
16
Type:
Discrete
Decimal:
0
Width:
17
Range:
1 - 16
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | ${hh_name_calc1} | 424 |
52.9%
|
| 2 | ${hh_name_calc2} | 119 |
14.8%
|
| 3 | ${hh_name_calc3} | 114 |
14.2%
|
| 4 | ${hh_name_calc4} | 55 |
6.9%
|
| 5 | ${hh_name_calc5} | 24 |
3%
|
| 6 | ${hh_name_calc6} | 26 |
3.2%
|
| 7 | ${hh_name_calc7} | 12 |
1.5%
|
| 8 | ${hh_name_calc8} | 10 |
1.2%
|
| 9 | ${hh_name_calc9} | 6 |
0.7%
|
| 10 | ${hh_name_calc10} | 5 |
0.6%
|
| 11 | ${hh_name_calc11} | 2 |
0.2%
|
| 12 | ${hh_name_calc12} | 0 |
0%
|
| 13 | ${hh_name_calc13} | 2 |
0.2%
|
| 14 | ${hh_name_calc14} | 0 |
0%
|
| 15 | ${hh_name_calc15} | 0 |
0%
|
| 16 | ${hh_name_calc16} | 1 |
0.1%
|
| 17 | ${hh_name_calc17} | 0 |
0%
|
| 18 | ${hh_name_calc18} | 0 |
0%
|
| 19 | ${hh_name_calc19} | 0 |
0%
|
| 20 | ${hh_name_calc20} | 0 |
0%
|
| 21 | ${hh_name_calc21} | 0 |
0%
|
| 22 | ${hh_name_calc22} | 0 |
0%
|
| 23 | ${hh_name_calc23} | 0 |
0%
|
| 24 | ${hh_name_calc24} | 0 |
0%
|
| 25 | ${hh_name_calc25} | 0 |
0%
|
| 26 | ${hh_name_calc26} | 0 |
0%
|
| 27 | ${hh_name_calc27} | 0 |
0%
|
| 28 | ${hh_name_calc28} | 0 |
0%
|
| 29 | ${hh_name_calc29} | 0 |
0%
|
| 30 | ${hh_name_calc30} | 0 |
0%
|
| 31 | ${hh_name_calc31} | 0 |
0%
|
| 32 | ${hh_name_calc32} | 0 |
0%
|
| 33 | ${hh_name_calc33} | 0 |
0%
|
| 34 | ${hh_name_calc34} | 0 |
0%
|
| 35 | ${hh_name_calc35} | 0 |
0%
|
| n | 2 |
0.2%
|
|
| Sysmiss | 41613 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.