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    Home / Central Data Catalog / AFG_2016-2018_TUP_V01_M
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Targeting the Ultra-Poor Program in Afghanistan, Baseline and Follow-up Surveys, 2016 - 2018
Baseline and Follow-up

Afghanistan, 2016
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Reference ID
AFG_2016-2018_TUP_v01_M
DOI
https://doi.org/10.48529/kxmk-md98
Producer(s)
Guadalupe Bedoya, Aidan Coville, Johannes Haushofer, Jeremy Shapiro
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 30, 2026
Last modified
Jan 30, 2026
Page views
32928
Downloads
297
  • Study Description
  • Data Description
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  • 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

Data file: market_clean_bl

Market survey.

Cases: 4
Variables: 88

Variables

date
Survey date
time
Survey time
vc1
Enumerator
vc2
Supervisor
vc3
District
mkt_day
Is today a market day?
ms1_a
Rice (high quality)
ms1_b
Rice (low quality)
ms1_c
Wheat flour
ms1_d
Barley
ms1_e
Maize
ms1_f
Beans
ms1_g
Mung
ms1_h
Chickpeas
ms1_i
Lentils
ms1_j
Pasta
ms2_a
Beef
ms2_b
Veal
ms2_c
Mutton
ms2_d
Goat
ms2_e
Chicken
ms2_f
Liver
ms2_g
Dried Meat
ms2_h
Fish
ms3_b
Milk (powdered)
ms3_c
Yogurt
ms3_d
Curd (chaka)
ms3_e
Krut (dried)
ms3_f
Dogh
ms3_g
Ghee
ms3_h
Butter
ms3_i
Cheese
ms3_j
What is the price of one dozen eggs in this market?
ms4_a
What is the price of 1 litre of vegetable oil, cotton oil or sesame oil?
ms4_b
Animal fat
ms5_a
Potato
ms5_b
Sweet potato
ms5_c
Onion
ms5_d
Tomato
ms5_e
Okra
ms5_f
Spinach
ms5_g
Cauliflower
ms5_h
Eggplant
ms5_i
Carrots
ms5_j
Pumpkin, squash
ms5_k
Cucumber
ms5_l
Radish
ms5_m
Turnip
ms5_n
Cabbage
ms5_o
Leek
ms5_p
Hot pepper
ms5_q
Wild leafy vegetables
ms5_r
Coriander
ms5_s
Mint
ms5_t
Dried tomatoes
ms5_u
Dried vegetables
ms5_v
Pickled vegetables
ms5_w
Green beans
ms6_a
Apple
ms6_b
Grapes
ms6_c
Melon/watermelon
ms6_d
Peach
ms6_e
Fresh apricots
ms6_f
Dried apricots
ms6_g
Orange/citrus
ms6_h
Plum
ms6_i
Pomegranate
ms6_j
Pear
ms6_k
Banana
ms6_l
Raisins
ms6_m
Fresh mulberries
ms6_n
Dried mulberries
ms6_o
Mangoes
ms6_p
Walnuts
ms6_q
Pistachio
ms6_r
Almonds
ms7_a
White sugar
ms7_b
Brown sugar
ms7_c
Honey
ms7_d
Chocolates, candy, sherinigack
ms8_a
Salt
ms8_b
Black pepper
ms8_c
Ginger and garlic
ms8_d
Tomato sauce
ms8_e
Mixed spices
ms9_a
What is the price of 100 grams of black tea in this market?
ms9_b
What is the price of 100 grams of green tea in this market?
ms9_c
What is the price of one bottle of beverages?
Total: 88
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