Home / Central Data Catalog / RWA_2012-2016_LWHIE-BL-F2_V01_M
central

Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2012-2016, Baseline, First Follow-up and Second Follow-up Surveys

Rwanda, 2012 - 2016
Get Microdata
Reference ID
RWA_2012-2016_LWHIE-BL-F2_v01_M
Producer(s)
Florence Kondylis, Maria Jones, Saahil Karpe
Metadata
DDI/XML JSON
Created on
Dec 05, 2022
Last modified
Dec 05, 2022
Page views
184685

Data file: lwh_followup2

Data for the Second Follow-up Survey

Cases: 3078
Variables: 2566

Variables

exp_27_u_15
[Meals Prepared outside HH]: EXP_27_U: Units
exp_27_u_16
[Nuts, Seeds]: EXP_27_U: Units
exp_28_q_1
[Flour]: EXP_28_Q: How much did you purchase?
exp_28_q_2
[Bread]: EXP_28_Q: How much did you purchase?
exp_28_q_3
[Rice]: EXP_28_Q: How much did you purchase?
exp_28_q_4
[Meat, Fish]: EXP_28_Q: How much did you purchase?
exp_28_q_5
[Poultry, Eggs]: EXP_28_Q: How much did you purchase?
exp_28_q_6
[Milk, Other Dairy]: EXP_28_Q: How much did you purchase?
exp_28_q_7
[Edible Oils]: EXP_28_Q: How much did you purchase?
exp_28_q_8
[Fruits]: EXP_28_Q: How much did you purchase?
exp_28_q_9
[Beans]: EXP_28_Q: How much did you purchase?
exp_28_q_10
[Vegetables]: EXP_28_Q: How much did you purchase?
exp_28_q_11
[Matoke, Cassava, Potatoes]: EXP_28_Q: How much did you purchase?
exp_28_q_12
[Juice, Soda, Non-Alcoholic Drinks]: EXP_28_Q: How much did you purchase?
exp_28_q_13
[Sugar, Honey, Other Sweeteners]: EXP_28_Q: How much did you purchase?
exp_28_q_14
[Salt or Spices]: EXP_28_Q: How much did you purchase?
exp_28_q_15
[Meals Prepared outside HH]: EXP_28_Q: How much did you purchase?
exp_28_q_16
[Nuts, Seeds]: EXP_28_Q: How much did you purchase?
exp_28_u_1
[Flour]: EXP_28_U: units
exp_28_u_2
[Bread]: EXP_28_U: units
exp_28_u_3
[Rice]: EXP_28_U: units
exp_28_u_4
[Meat, Fish]: EXP_28_U: units
exp_28_u_5
[Poultry, Eggs]: EXP_28_U: units
exp_28_u_6
[Milk, Other Dairy]: EXP_28_U: units
exp_28_u_7
[Edible Oils]: EXP_28_U: units
exp_28_u_8
[Fruits]: EXP_28_U: units
exp_28_u_9
[Beans]: EXP_28_U: units
exp_28_u_10
[Vegetables]: EXP_28_U: units
exp_28_u_11
[Matoke, Cassava, Potatoes]: EXP_28_U: units
exp_28_u_12
[Juice, Soda, Non-Alcoholic Drinks]: EXP_28_U: units
exp_28_u_13
[Sugar, Honey, Other Sweeteners]: EXP_28_U: units
exp_28_u_14
[Salt or Spices]: EXP_28_U: units
exp_28_u_15
[Meals Prepared outside HH]: EXP_28_U: units
exp_28_u_16
[Nuts, Seeds]: EXP_28_U: units
exp_29_1
[Flour]: EXP_29: How much in total did your HH spend on purchased over the last
exp_29_2
[Bread]: EXP_29: How much in total did your HH spend on purchased over the last
exp_29_3
[Rice]: EXP_29: How much in total did your HH spend on purchased over the last
exp_29_4
[Meat, Fish]: EXP_29: How much in total did your HH spend on purchased over the
exp_29_5
[Poultry, Eggs]: EXP_29: How much in total did your HH spend on purchased over
exp_29_6
[Milk, Other Dairy]: EXP_29: How much in total did your HH spend on purchased o
exp_29_7
[Edible Oils]: EXP_29: How much in total did your HH spend on purchased over th
exp_29_8
[Fruits]: EXP_29: How much in total did your HH spend on purchased over the las
exp_29_9
[Beans]: EXP_29: How much in total did your HH spend on purchased over the last
exp_29_10
[Vegetables]: EXP_29: How much in total did your HH spend on purchased over the
exp_29_11
[Matoke, Cassava, Potatoes]: EXP_29: How much in total did your HH spend on purc
exp_29_12
[Juice, Soda, Non-Alcoholic Drinks]: EXP_29: How much in total did your HH spend
exp_29_13
[Sugar, Honey, Other Sweeteners]: EXP_29: How much in total did your HH spend on
exp_29_14
[Salt or Spices]: EXP_29: How much in total did your HH spend on purchased over
exp_29_15
[Meals Prepared outside HH]: EXP_29: How much in total did your HH spend on purc
exp_29_16
[Nuts, Seeds]: EXP_29: How much in total did your HH spend on purchased over th
l_2_1
Were there any months, in the past 12 months, in which you did not have enough f
l_2_2_november
In [november] the hh did not have enough food to meet your family’s needs?
l_2_2_december
In [december] the hh did not have enough food to meet your family’s needs?
l_2_2_january
In [january] the hh did not have enough food to meet your family’s needs?
l_2_2_february
In [february] the hh did not have enough food to meet your family’s needs?
l_2_2_march
In [march] the hh did not have enough food to meet your family’s needs?
l_2_2_april
In [april] the hh did not have enough food to meet your family’s needs?
l_2_2_may
In [may] the hh did not have enough food to meet your family’s needs?
l_2_2_june
In [june] the hh did not have enough food to meet your family’s needs?
l_2_2_july
In [july] the hh did not have enough food to meet your family’s needs?
l_2_2_august
In [august] the hh did not have enough food to meet your family’s needs?
l_2_2_september
In [september] the hh did not have enough food to meet your family’s needs?
l_2_2_october
In [october] the hh did not have enough food to meet your family’s needs?
l_2_3_november_1
november: Why? Drought.
l_2_3_november_2
november: Why? Floods.
l_2_3_november_3
november: Why? Irregular rains.
l_2_3_november_4
november: Why? Crop pests and disease.
l_2_3_november_5
november: Why? Livestock disease.
l_2_3_november_6
november: Why? High food prices.
l_2_3_november_7
november: Why? High cost of agricultural inputs.
l_2_3_november_8
november: Why? Loss or reduced employment.
l_2_3_november_9
november: Why? Illness/ accident of HH member.
l_2_3_november_10
november: Why? Death of HH member.
l_2_3_november_11
november: Why? Theft of productive resources.
l_2_3_november_12
november: Why? Other criminal acts.
l_2_3_november_13
november: Why? Erosion/Landslides.
l_2_3_november_dk
november: Why? don't know.
l_2_3_november_refuse
november: Why? refuse to answer.
l_2_3_november_na
november: Why? N/A.
l_2_3_december_1
december: Why? Drought.
l_2_3_december_2
december: Why? Floods.
l_2_3_december_3
december: Why? Irregular rains.
l_2_3_december_4
december: Why? Crop pests and disease.
l_2_3_december_5
december: Why? Livestock disease.
l_2_3_december_6
december: Why? High food prices.
l_2_3_december_7
december: Why? High cost of agricultural inputs.
l_2_3_december_8
december: Why? Loss or reduced employment.
l_2_3_december_9
december: Why? Illness/ accident of HH member.
l_2_3_december_10
december: Why? Death of HH member.
l_2_3_december_11
december: Why? Theft of productive resources.
l_2_3_december_12
december: Why? Other criminal acts.
l_2_3_december_13
december: Why? Erosion/Landslides.
l_2_3_december_dk
december: Why? don't know.
l_2_3_december_refuse
december: Why? refuse to answer.
l_2_3_december_na
december: Why? N/A.
l_2_3_january_1
january: Why? Drought.
l_2_3_january_2
january: Why? Floods.
l_2_3_january_3
january: Why? Irregular rains.
l_2_3_january_4
january: Why? Crop pests and disease.
l_2_3_january_5
january: Why? Livestock disease.
l_2_3_january_6
january: Why? High food prices.
l_2_3_january_7
january: Why? High cost of agricultural inputs.
l_2_3_january_8
january: Why? Loss or reduced employment.
l_2_3_january_9
january: Why? Illness/ accident of HH member.
l_2_3_january_10
january: Why? Death of HH member.
l_2_3_january_11
january: Why? Theft of productive resources.
l_2_3_january_12
january: Why? Other criminal acts.
l_2_3_january_13
january: Why? Erosion/Landslides.
l_2_3_january_dk
january: Why? don't know.
l_2_3_january_refuse
january: Why? refuse to answer.
l_2_3_january_na
january: Why? N/A.
l_2_3_february_1
february: Why? Drought.
l_2_3_february_2
february: Why? Floods.
l_2_3_february_3
february: Why? Irregular rains.
l_2_3_february_4
february: Why? Crop pests and disease.
l_2_3_february_5
february: Why? Livestock disease.
l_2_3_february_6
february: Why? High food prices.
l_2_3_february_7
february: Why? High cost of agricultural inputs.
l_2_3_february_8
february: Why? Loss or reduced employment.
l_2_3_february_9
february: Why? Illness/ accident of HH member.
l_2_3_february_10
february: Why? Death of HH member.
l_2_3_february_11
february: Why? Theft of productive resources.
l_2_3_february_12
february: Why? Other criminal acts.
l_2_3_february_13
february: Why? Erosion/Landslides.
l_2_3_february_dk
february: Why? don't know.
l_2_3_february_refuse
february: Why? refuse to answer.
l_2_3_february_na
february: Why? N/A.
l_2_3_march_1
march: Why? Drought.
l_2_3_march_2
march: Why? Floods.
l_2_3_march_3
march: Why? Irregular rains.
l_2_3_march_4
march: Why? Crop pests and disease.
l_2_3_march_5
march: Why? Livestock disease.
l_2_3_march_6
march: Why? High food prices.
l_2_3_march_7
march: Why? High cost of agricultural inputs.
l_2_3_march_8
march: Why? Loss or reduced employment.
l_2_3_march_9
march: Why? Illness/ accident of HH member.
l_2_3_march_10
march: Why? Death of HH member.
l_2_3_march_11
march: Why? Theft of productive resources.
l_2_3_march_12
march: Why? Other criminal acts.
l_2_3_march_13
march: Why? Erosion/Landslides.
l_2_3_march_dk
march: Why? don't know.
l_2_3_march_refuse
march: Why? refuse to answer.
l_2_3_march_na
march: Why? N/A.
l_2_3_april_1
april: Why? Drought.
l_2_3_april_2
april: Why? Floods.
l_2_3_april_3
april: Why? Irregular rains.
l_2_3_april_4
april: Why? Crop pests and disease.
l_2_3_april_5
april: Why? Livestock disease.
l_2_3_april_6
april: Why? High food prices.
l_2_3_april_7
april: Why? High cost of agricultural inputs.
l_2_3_april_8
april: Why? Loss or reduced employment.
l_2_3_april_9
april: Why? Illness/ accident of HH member.
l_2_3_april_10
april: Why? Death of HH member.
l_2_3_april_11
april: Why? Theft of productive resources.
l_2_3_april_12
april: Why? Other criminal acts.
l_2_3_april_13
april: Why? Erosion/Landslides.
l_2_3_april_dk
april: Why? don't know.
l_2_3_april_refuse
april: Why? refuse to answer.
l_2_3_april_na
april: Why? N/A.
l_2_3_may_1
may: Why? Drought.
l_2_3_may_2
may: Why? Floods.
l_2_3_may_3
may: Why? Irregular rains.
l_2_3_may_4
may: Why? Crop pests and disease.
l_2_3_may_5
may: Why? Livestock disease.
l_2_3_may_6
may: Why? High food prices.
l_2_3_may_7
may: Why? High cost of agricultural inputs.
l_2_3_may_8
may: Why? Loss or reduced employment.
l_2_3_may_9
may: Why? Illness/ accident of HH member.
l_2_3_may_10
may: Why? Death of HH member.
l_2_3_may_11
may: Why? Theft of productive resources.
l_2_3_may_12
may: Why? Other criminal acts.
l_2_3_may_13
may: Why? Erosion/Landslides.
l_2_3_may_dk
may: Why? don't know.
l_2_3_may_refuse
may: Why? refuse to answer.
l_2_3_may_na
may: Why? N/A.
l_2_3_june_1
june: Why? Drought.
l_2_3_june_2
june: Why? Floods.
l_2_3_june_3
june: Why? Irregular rains.
l_2_3_june_4
june: Why? Crop pests and disease.
l_2_3_june_5
june: Why? Livestock disease.
l_2_3_june_6
june: Why? High food prices.
l_2_3_june_7
june: Why? High cost of agricultural inputs.
l_2_3_june_8
june: Why? Loss or reduced employment.
l_2_3_june_9
june: Why? Illness/ accident of HH member.
l_2_3_june_10
june: Why? Death of HH member.
l_2_3_june_11
june: Why? Theft of productive resources.
l_2_3_june_12
june: Why? Other criminal acts.
l_2_3_june_13
june: Why? Erosion/Landslides.
l_2_3_june_dk
june: Why? don't know.
l_2_3_june_refuse
june: Why? refuse to answer.
l_2_3_june_na
june: Why? N/A.
l_2_3_july_1
july: Why? Drought.
l_2_3_july_2
july: Why? Floods.
l_2_3_july_3
july: Why? Irregular rains.
l_2_3_july_4
july: Why? Crop pests and disease.
l_2_3_july_5
july: Why? Livestock disease.
l_2_3_july_6
july: Why? High food prices.
l_2_3_july_7
july: Why? High cost of agricultural inputs.
l_2_3_july_8
july: Why? Loss or reduced employment.
l_2_3_july_9
july: Why? Illness/ accident of HH member.
l_2_3_july_10
july: Why? Death of HH member.
l_2_3_july_11
july: Why? Theft of productive resources.
l_2_3_july_12
july: Why? Other criminal acts.
l_2_3_july_13
july: Why? Erosion/Landslides.
l_2_3_july_dk
july: Why? don't know.
l_2_3_july_refuse
july: Why? refuse to answer.
l_2_3_july_na
july: Why? N/A.
l_2_3_august_1
august: Why? Drought.
l_2_3_august_2
august: Why? Floods.
l_2_3_august_3
august: Why? Irregular rains.
l_2_3_august_4
august: Why? Crop pests and disease.
l_2_3_august_5
august: Why? Livestock disease.
l_2_3_august_6
august: Why? High food prices.
l_2_3_august_7
august: Why? High cost of agricultural inputs.
l_2_3_august_8
august: Why? Loss or reduced employment.
l_2_3_august_9
august: Why? Illness/ accident of HH member.
l_2_3_august_10
august: Why? Death of HH member.
l_2_3_august_11
august: Why? Theft of productive resources.
l_2_3_august_12
august: Why? Other criminal acts.
l_2_3_august_13
august: Why? Erosion/Landslides.
l_2_3_august_dk
august: Why? don't know.
l_2_3_august_refuse
august: Why? refuse to answer.
l_2_3_august_na
august: Why? N/A.
l_2_3_september_1
september: Why? Drought.
l_2_3_september_2
september: Why? Floods.
l_2_3_september_3
september: Why? Irregular rains.
l_2_3_september_4
september: Why? Crop pests and disease.
l_2_3_september_5
september: Why? Livestock disease.
l_2_3_september_6
september: Why? High food prices.
l_2_3_september_7
september: Why? High cost of agricultural inputs.
l_2_3_september_8
september: Why? Loss or reduced employment.
l_2_3_september_9
september: Why? Illness/ accident of HH member.
l_2_3_september_10
september: Why? Death of HH member.
l_2_3_september_11
september: Why? Theft of productive resources.
l_2_3_september_12
september: Why? Other criminal acts.
l_2_3_september_13
september: Why? Erosion/Landslides.
l_2_3_september_dk
september: Why? don't know.
l_2_3_september_refuse
september: Why? refuse to answer.
l_2_3_september_na
september: Why? N/A.
l_2_3_october_1
october: Why? Drought.
l_2_3_october_2
october: Why? Floods.
l_2_3_october_3
october: Why? Irregular rains.
l_2_3_october_4
october: Why? Crop pests and disease.
l_2_3_october_5
october: Why? Livestock disease.
l_2_3_october_6
october: Why? High food prices.
l_2_3_october_7
october: Why? High cost of agricultural inputs.
l_2_3_october_8
october: Why? Loss or reduced employment.
l_2_3_october_9
october: Why? Illness/ accident of HH member.
l_2_3_october_10
october: Why? Death of HH member.
l_2_3_october_11
october: Why? Theft of productive resources.
l_2_3_october_12
october: Why? Other criminal acts.
l_2_3_october_13
october: Why? Erosion/Landslides.
l_2_3_october_dk
october: Why? don't know.
l_2_3_october_refuse
october: Why? refuse to answer.
l_2_3_october_na
october: Why? N/A.
wdds_b_1
[Breakfast] foods she ate or drank yesterday during the day and night: CEREALS
wdds_b_2
[Breakfast] foods she ate or drank yesterday during the day and night: WHITE ROO
wdds_b_3
[Breakfast] foods she ate or drank yesterday during the day and night: YELLOW/ O
wdds_b_4
[Breakfast] foods she ate or drank yesterday during the day and night: DARK GREE
wdds_b_5
[Breakfast] foods she ate or drank yesterday during the day and night: OTHER VEG
wdds_b_6
[Breakfast] foods she ate or drank yesterday during the day and night: VITAMIN A
wdds_b_7
[Breakfast] foods she ate or drank yesterday during the day and night: OTHER FRU
wdds_b_8
[Breakfast] foods she ate or drank yesterday during the day and night: ORGAN MEA
wdds_b_9
[Breakfast] foods she ate or drank yesterday during the day and night: FLESH MEA
wdds_b_10
[Breakfast] foods she ate or drank yesterday during the day and night: EGGS
wdds_b_11
[Breakfast] foods she ate or drank yesterday during the day and night: Fish
wdds_b_12
[Breakfast] foods she ate or drank yesterday during the day and night: LEGUMES,
wdds_b_13
[Breakfast] foods she ate or drank yesterday during the day and night: MILK AND
wdds_b_14
[Breakfast] foods she ate or drank yesterday during the day and night: OILS AND
wdds_b_15
[Breakfast] foods she ate or drank yesterday during the day and night: SWEETS
wdds_b_16
[Breakfast] foods she ate or drank yesterday during the day and night: SPICES, C
wdds_b_17
[Breakfast] foods she ate or drank yesterday during the day and night: None
wdds_bs_1
[B Snack] foods she ate or drank yesterday during the day and night: CEREALS
wdds_bs_2
[B Snack] foods she ate or drank yesterday during the day and night: WHITE ROOTS
wdds_bs_3
[B Snack] foods she ate or drank yesterday during the day and night: YELLOW/ ORA
wdds_bs_4
[B Snack] foods she ate or drank yesterday during the day and night: DARK GREEN
wdds_bs_5
[B Snack] foods she ate or drank yesterday during the day and night: OTHER VEGET
wdds_bs_6
[B Snack] foods she ate or drank yesterday during the day and night: VITAMIN A R
wdds_bs_7
[B Snack] foods she ate or drank yesterday during the day and night: OTHER FRUIT
wdds_bs_8
[B Snack] foods she ate or drank yesterday during the day and night: ORGAN MEAT
wdds_bs_9
[B Snack] foods she ate or drank yesterday during the day and night: FLESH MEAT
wdds_bs_10
[B Snack] foods she ate or drank yesterday during the day and night: EGGS
wdds_bs_11
[B Snack] foods she ate or drank yesterday during the day and night: Fish
wdds_bs_12
[B Snack] foods she ate or drank yesterday during the day and night: LEGUMES, NU
wdds_bs_13
[B Snack] foods she ate or drank yesterday during the day and night: MILK AND MI
wdds_bs_14
[B Snack] foods she ate or drank yesterday during the day and night: OILS AND FA
wdds_bs_15
[B Snack] foods she ate or drank yesterday during the day and night: SWEETS
wdds_bs_16
[B Snack] foods she ate or drank yesterday during the day and night: SPICES, CON
wdds_bs_17
[B Snack] foods she ate or drank yesterday during the day and night: None
wdds_l_1
[Lunch] foods she ate or drank yesterday during the day and night: CEREALS
wdds_l_2
[Lunch] foods she ate or drank yesterday during the day and night: WHITE ROOTS A
wdds_l_3
[Lunch] foods she ate or drank yesterday during the day and night: YELLOW/ ORANG
wdds_l_4
[Lunch] foods she ate or drank yesterday during the day and night: DARK GREEN LE
wdds_l_5
[Lunch] foods she ate or drank yesterday during the day and night: OTHER VEGETAB
wdds_l_6
[Lunch] foods she ate or drank yesterday during the day and night: VITAMIN A RIC
wdds_l_7
[Lunch] foods she ate or drank yesterday during the day and night: OTHER FRUITS
wdds_l_8
[Lunch] foods she ate or drank yesterday during the day and night: ORGAN MEAT
wdds_l_9
[Lunch] foods she ate or drank yesterday during the day and night: FLESH MEAT
wdds_l_10
[Lunch] foods she ate or drank yesterday during the day and night: EGGS
wdds_l_11
[Lunch] foods she ate or drank yesterday during the day and night: Fish
Total: 2566
Back to Catalog