Land Titling Impact Evaluation - Baseline Survey 2015
Uganda, 2015
Get Microdata
Reference ID
UGA_2015_LTIE-BL_v01_M
Producer(s)
Markus Goldstein, Michael O'Sullivan, Joao Montalvao, Christopher Udry, James Habyarimana
Created on
Sep 07, 2022
Last modified
Sep 07, 2022
Page views
14994
Downloads
93
- Data files
- cedp_bs_0_cover_2015
- cedp_bs_1_hhroster_2015
- cedp_bs_2_laborsupply_2015
- cedp_bs_3_assets_2015
- cedp_bs_4a_parcelroster_2015
- cedp_bs_4b_plotroster_2015
- cedp_bs_4c_croproster_2015
- cedp_bs_5_crops_season1_2015
- cedp_bs_6_output_season1_2015
- cedp_bs_7a_input_season1_plot_2015
- cedp_bs_7b_activity_season1_act_2015
- cedp_bs_8a_input_season2_plot_2015
- cedp_bs_8b_input_season2_crop_2015
- cedp_bs_9_parcdet_2015
- cedp_bs_10_landrights_2015
- cedp_bs_11_conflicts_2015
- cedp_bs_12_landmkt_2015
- cedp_bs_13_transfers_2015
- cedp_bs_14_migration_male_2015
- cedp_bs_15_inheritance_male_2015
- cedp_bs_16_percrights_male_2015
- cedp_bs_17_credit_male_2015
- cedp_bs_18_migration_female_2015
- cedp_bs_19_marriage_female_2015
- cedp_bs_20_inheritance_female_2015
- cedp_bs_21_percrights_female_2015
- cedp_bs_22_decmaking_female_2015
- cedp_bs_23_credit_female_2015
- cedp_bs_24_relspouse_female_2015
- cedp_bs_plotsize_acres_2015
- community_bl2015_public_release
Crop planted in second season 2014 name (q3_crop2seascode7)
Data file: cedp_bs_8a_input_season2_plot_2015
Overview
Valid:
19
Invalid:
15250
Minimum:
130
Maximum:
996
Type:
Discrete
Decimal:
0
Width:
20
Range:
111 - 996
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 111 | Wheat | 0 |
0%
|
| 112 | Barley | 0 |
0%
|
| 120 | Rice | 0 |
0%
|
| 130 | Maize | 1 |
5.3%
|
| 141 | Finger_millet | 1 |
5.3%
|
| 150 | Sorghum | 1 |
5.3%
|
| 160 | Cassava | 1 |
5.3%
|
| 210 | Beans | 3 |
15.8%
|
| 211 | Beans_french | 0 |
0%
|
| 221 | Field_peas | 0 |
0%
|
| 222 | Cow_peas | 0 |
0%
|
| 223 | Pigeon_peas | 0 |
0%
|
| 224 | Chick_peas | 0 |
0%
|
| 310 | Groundnuts | 0 |
0%
|
| 320 | Soya_beans | 0 |
0%
|
| 330 | Sunflower | 0 |
0%
|
| 340 | Simsim | 0 |
0%
|
| 410 | Cabbage | 0 |
0%
|
| 420 | Tomatoes | 0 |
0%
|
| 430 | Carrots | 0 |
0%
|
| 440 | Onions | 0 |
0%
|
| 450 | Pumpkins | 1 |
5.3%
|
| 460 | Dodo | 1 |
5.3%
|
| 470 | Eggplants | 1 |
5.3%
|
| 510 | Sugarcane | 2 |
10.5%
|
| 520 | Cotton | 0 |
0%
|
| 530 | Tobacco | 0 |
0%
|
| 610 | Irish_potatoes | 0 |
0%
|
| 611 | Sweet_potatoes | 0 |
0%
|
| 613 | Yams | 2 |
10.5%
|
| 700 | Oranges | 0 |
0%
|
| 710 | Paw_paw | 0 |
0%
|
| 720 | Pineapples | 0 |
0%
|
| 741 | Banana_food | 0 |
0%
|
| 742 | Banana_beer | 0 |
0%
|
| 744 | Banana_sweet | 0 |
0%
|
| 745 | Banana_sweet2 | 0 |
0%
|
| 750 | Mango | 2 |
10.5%
|
| 760 | Jackfruit | 0 |
0%
|
| 770 | Avocado | 0 |
0%
|
| 780 | Passion_fruit | 0 |
0%
|
| 810 | Coffee | 1 |
5.3%
|
| 820 | Cocoa | 0 |
0%
|
| 830 | Tea | 0 |
0%
|
| 840 | Ginger | 1 |
5.3%
|
| 850 | Curry | 0 |
0%
|
| 860 | Oil_palm | 0 |
0%
|
| 870 | Vanilla | 0 |
0%
|
| 880 | Black_wattle | 0 |
0%
|
| 888 | None | 0 |
0%
|
| 890 | Other | 0 |
0%
|
| 910 | Natural_pastures | 0 |
0%
|
| 920 | Improved_pastures | 0 |
0%
|
| 930 | Fallow | 0 |
0%
|
| 940 | Bush | 0 |
0%
|
| 950 | Natural_forest_trees | 0 |
0%
|
| 960 | Plantation_trees | 0 |
0%
|
| 970 | Bamboo | 0 |
0%
|
| 971 | Okra (Bamia) | 0 |
0%
|
| 972 | Sukuma | 0 |
0%
|
| 996 | Other (specify) | 1 |
5.3%
|
| Sysmiss | 15250 |
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.