Impact Evaluation of the Lesotho Land Administration Reform 2019
Lesotho, 2013 - 2020
Get MicrodataCreated on
Mar 29, 2022
Last modified
Mar 29, 2022
Page views
21876
Downloads
35
- Data files
- Section_B_Household_Members.dta
- section_bb_land_ownership_by_women.dta
- section_bn.dta
- section_bz_decision_making.dta
- section_c1_salaried_wage_employment.dta
- section_c2_self_employment.dta
- section_c3_transfers_remittances_pensions.dta
- section_d4_parcels_housing_commercial_vacant.dta
- section_e_characterics_of_parcels.dta
- section_f_information_on_parcels.dta
- section_g_land_conflicts.dta
- section_h_rights_land_perception_risks.dta
- section_j_parcels_rented_in.dta
- Section_K_Investement.dta
- Section_L_Credit.dta
- section_n.dta
- section_o_consumption.dta
- section_p_ownership_of_assets.dta
- section_q1_monthly_expenditures.dta
- section_q2_expenses_last_12_months.dta
- section_q3_sale_of_household_goods.dta
- lesotho_land_panel_2019.dta
If you wanted to, for how much could you sell ALL these items? - 3 (P02_v_3)
Data file: section_p_ownership_of_assets.dta
Overview
Valid:
264
Invalid:
1314
Minimum:
-997
Maximum:
2500000
Type:
Discrete
Decimal:
0
Start:
108
End:
114
Width:
7
Range:
-997 - 2500000
Format:
Numeric
Questions and instructions
Literal question
Section P: Ownership of assets
P02_V. If you wanted to, for how much could you sell ALL these items? Bicycle
P02_V. If you wanted to, for how much could you sell ALL these items? Bicycle
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -997 | Don’t know | 2 |
0.8%
|
| 30 | 1 |
0.4%
|
|
| 40 | 2 |
0.8%
|
|
| 50 | 1 |
0.4%
|
|
| 52 | 1 |
0.4%
|
|
| 90 | 1 |
0.4%
|
|
| 140 | 1 |
0.4%
|
|
| 145 | 1 |
0.4%
|
|
| 150 | 1 |
0.4%
|
|
| 200 | 2 |
0.8%
|
|
| 250 | 1 |
0.4%
|
|
| 300 | 3 |
1.1%
|
|
| 400 | 3 |
1.1%
|
|
| 500 | 9 |
3.4%
|
|
| 600 | 2 |
0.8%
|
|
| 800 | 5 |
1.9%
|
|
| 900 | 1 |
0.4%
|
|
| 950 | 1 |
0.4%
|
|
| 1000 | 4 |
1.5%
|
|
| 1200 | 1 |
0.4%
|
|
| 1500 | 4 |
1.5%
|
|
| 2000 | 2 |
0.8%
|
|
| 2500 | 2 |
0.8%
|
|
| 2600 | 1 |
0.4%
|
|
| 4500 | 1 |
0.4%
|
|
| 6000 | 1 |
0.4%
|
|
| 7000 | 1 |
0.4%
|
|
| 10000 | 1 |
0.4%
|
|
| 15000 | 3 |
1.1%
|
|
| 18000 | 1 |
0.4%
|
|
| 20000 | 9 |
3.4%
|
|
| 25000 | 7 |
2.7%
|
|
| 30000 | 16 |
6.1%
|
|
| 32000 | 1 |
0.4%
|
|
| 35000 | 12 |
4.5%
|
|
| 40000 | 13 |
4.9%
|
|
| 42000 | 1 |
0.4%
|
|
| 45000 | 8 |
3%
|
|
| 50000 | 12 |
4.5%
|
|
| 53000 | 1 |
0.4%
|
|
| 55000 | 5 |
1.9%
|
|
| 60000 | 6 |
2.3%
|
|
| 65000 | 4 |
1.5%
|
|
| 70000 | 4 |
1.5%
|
|
| 75000 | 2 |
0.8%
|
|
| 80000 | 9 |
3.4%
|
|
| 85000 | 3 |
1.1%
|
|
| 88000 | 1 |
0.4%
|
|
| 90000 | 2 |
0.8%
|
|
| 95000 | 1 |
0.4%
|
|
| 100000 | 10 |
3.8%
|
|
| 105000 | 2 |
0.8%
|
|
| 110000 | 3 |
1.1%
|
|
| 120000 | 8 |
3%
|
|
| 130000 | 1 |
0.4%
|
|
| 135000 | 1 |
0.4%
|
|
| 140000 | 2 |
0.8%
|
|
| 150000 | 4 |
1.5%
|
|
| 160000 | 2 |
0.8%
|
|
| 180000 | 3 |
1.1%
|
|
| 190000 | 2 |
0.8%
|
|
| 200000 | 8 |
3%
|
|
| 220000 | 1 |
0.4%
|
|
| 230000 | 2 |
0.8%
|
|
| 240000 | 2 |
0.8%
|
|
| 250000 | 5 |
1.9%
|
|
| 300000 | 6 |
2.3%
|
|
| 380000 | 1 |
0.4%
|
|
| 400000 | 3 |
1.1%
|
|
| 480000 | 1 |
0.4%
|
|
| 500000 | 5 |
1.9%
|
|
| 600000 | 3 |
1.1%
|
|
| 660000 | 1 |
0.4%
|
|
| 700000 | 1 |
0.4%
|
|
| 732000 | 1 |
0.4%
|
|
| 750000 | 2 |
0.8%
|
|
| 755000 | 1 |
0.4%
|
|
| 900000 | 2 |
0.8%
|
|
| 950000 | 1 |
0.4%
|
|
| 1220000 | 1 |
0.4%
|
|
| 1500000 | 1 |
0.4%
|
|
| 2500000 | 1 |
0.4%
|
|
| Sysmiss | 1314 |
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.