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
10657
Downloads
71
- 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
Shock (shock)
Data file: g_shocks_bl
Overview
Valid:
96968
Invalid:
0
Minimum:
-99
Maximum:
31
Type:
Discrete
Decimal:
0
Width:
58
Range:
-99 - 31
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Don't know | 2852 |
2.9%
|
| -98 | Don't answer | 2852 |
2.9%
|
| 0 | None | 2852 |
2.9%
|
| 1 | Reduced drinking water quantity | 2852 |
2.9%
|
| 2 | Reduced drinking water quality | 2852 |
2.9%
|
| 3 | Reduced agricultural water quality or quantity | 2852 |
2.9%
|
| 4 | Unusually high level of crop pests or diseases | 2852 |
2.9%
|
| 5 | Opium eradication | 2852 |
2.9%
|
| 6 | Unusually high livestock diseases | 2852 |
2.9%
|
| 7 | Reduced availability of grazing areas | 2852 |
2.9%
|
| 8 | Reduced availability of Kuchi migration routes | 2852 |
2.9%
|
| 9 | Earthquakes | 2852 |
2.9%
|
| 10 | Landslides and avalanches | 2852 |
2.9%
|
| 11 | Flooding | 2852 |
2.9%
|
| 12 | Late damaging frosts | 2852 |
2.9%
|
| 13 | Heavy rains preventing work | 2852 |
2.9%
|
| 14 | Severe winter conditions | 2852 |
2.9%
|
| 15 | Hailstorms | 2852 |
2.9%
|
| 16 | Unusually high level of human disease | 2852 |
2.9%
|
| 17 | Large influx of returnee households | 2852 |
2.9%
|
| 18 | Unusually high increases in food prices | 2852 |
2.9%
|
| 19 | Unusual decrease in farm gate prices | 2852 |
2.9%
|
| 20 | Loss of employment by a household member | 2852 |
2.9%
|
| 21 | Reduced salary of a household member | 2852 |
2.9%
|
| 22 | Bankruptcy of family business | 2852 |
2.9%
|
| 23 | Serious illness or accident of working household member | 2852 |
2.9%
|
| 24 | Death of a working household member | 2852 |
2.9%
|
| 25 | Death or serious illness of other household member | 2852 |
2.9%
|
| 26 | Theft | 2852 |
2.9%
|
| 27 | Involuntary loss of house or land | 2852 |
2.9%
|
| 28 | Loss of livestock | 2852 |
2.9%
|
| 29 | Droughts | 2852 |
2.9%
|
| 30 | 2852 |
2.9%
|
|
| 31 | 2852 |
2.9%
|
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.