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
36347
Downloads
45
- 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? - 7 (P02_ei_7)
Data file: section_p_ownership_of_assets.dta
Overview
Valid:
472
Invalid:
1106
Minimum:
-997
Maximum:
60000
Type:
Discrete
Decimal:
0
Start:
302
End:
306
Width:
5
Range:
-997 - 60000
Format:
Numeric
Questions and instructions
Literal question
Section P: Ownership of assets
P02_EI. If you wanted to, for how much could you sell ALL these items? Wall clocks, wrist or pocket watches
P02_EI. If you wanted to, for how much could you sell ALL these items? Wall clocks, wrist or pocket watches
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -997 | Don’t know | 5 |
1.1%
|
| 5 | 1 |
0.2%
|
|
| 20 | 1 |
0.2%
|
|
| 30 | 2 |
0.4%
|
|
| 40 | 4 |
0.8%
|
|
| 50 | 21 |
4.4%
|
|
| 60 | 7 |
1.5%
|
|
| 70 | 5 |
1.1%
|
|
| 80 | 9 |
1.9%
|
|
| 100 | 18 |
3.8%
|
|
| 120 | 3 |
0.6%
|
|
| 150 | 12 |
2.5%
|
|
| 160 | 1 |
0.2%
|
|
| 170 | 1 |
0.2%
|
|
| 200 | 18 |
3.8%
|
|
| 250 | 8 |
1.7%
|
|
| 300 | 19 |
4%
|
|
| 320 | 1 |
0.2%
|
|
| 350 | 7 |
1.5%
|
|
| 400 | 10 |
2.1%
|
|
| 450 | 2 |
0.4%
|
|
| 500 | 22 |
4.7%
|
|
| 550 | 1 |
0.2%
|
|
| 600 | 11 |
2.3%
|
|
| 650 | 1 |
0.2%
|
|
| 700 | 6 |
1.3%
|
|
| 750 | 2 |
0.4%
|
|
| 800 | 14 |
3%
|
|
| 900 | 2 |
0.4%
|
|
| 950 | 3 |
0.6%
|
|
| 1000 | 19 |
4%
|
|
| 1100 | 1 |
0.2%
|
|
| 1150 | 1 |
0.2%
|
|
| 1200 | 6 |
1.3%
|
|
| 1300 | 1 |
0.2%
|
|
| 1400 | 2 |
0.4%
|
|
| 1500 | 23 |
4.9%
|
|
| 1600 | 2 |
0.4%
|
|
| 1700 | 1 |
0.2%
|
|
| 1800 | 6 |
1.3%
|
|
| 1850 | 1 |
0.2%
|
|
| 1900 | 2 |
0.4%
|
|
| 2000 | 29 |
6.1%
|
|
| 2100 | 1 |
0.2%
|
|
| 2200 | 3 |
0.6%
|
|
| 2300 | 1 |
0.2%
|
|
| 2400 | 2 |
0.4%
|
|
| 2500 | 20 |
4.2%
|
|
| 2600 | 1 |
0.2%
|
|
| 2700 | 1 |
0.2%
|
|
| 2800 | 2 |
0.4%
|
|
| 2900 | 2 |
0.4%
|
|
| 3000 | 19 |
4%
|
|
| 3100 | 2 |
0.4%
|
|
| 3500 | 9 |
1.9%
|
|
| 4000 | 7 |
1.5%
|
|
| 4200 | 2 |
0.4%
|
|
| 4500 | 10 |
2.1%
|
|
| 4700 | 1 |
0.2%
|
|
| 4800 | 1 |
0.2%
|
|
| 5000 | 21 |
4.4%
|
|
| 5500 | 4 |
0.8%
|
|
| 5650 | 1 |
0.2%
|
|
| 5800 | 1 |
0.2%
|
|
| 6000 | 15 |
3.2%
|
|
| 6200 | 1 |
0.2%
|
|
| 6500 | 1 |
0.2%
|
|
| 6800 | 1 |
0.2%
|
|
| 7000 | 4 |
0.8%
|
|
| 7500 | 2 |
0.4%
|
|
| 8000 | 9 |
1.9%
|
|
| 8500 | 1 |
0.2%
|
|
| 8600 | 1 |
0.2%
|
|
| 9000 | 3 |
0.6%
|
|
| 10000 | 3 |
0.6%
|
|
| 11000 | 1 |
0.2%
|
|
| 11500 | 1 |
0.2%
|
|
| 12000 | 2 |
0.4%
|
|
| 13000 | 1 |
0.2%
|
|
| 17000 | 1 |
0.2%
|
|
| 20000 | 1 |
0.2%
|
|
| 27000 | 1 |
0.2%
|
|
| 60000 | 1 |
0.2%
|
|
| Sysmiss | 1106 |
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.