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    Home / Central Data Catalog / NGA_2018_LSS_V01_M / variable [F90]
central

Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
37123
Downloads
548
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • secta_cover
  • sect_aux
  • sect1_roster
  • sect2_education
  • sect3_health
  • sect4a1_labour
  • sect4a2_labour
  • sect5_remittances
  • sect6a_meals_outside
  • sect6b_food_cons
  • sect6c_aggregate_food_1
  • sect6c_aggregate_food_2
  • sect6c_aggregate_food_3
  • sect07_7day
  • sect07_12month
  • sect07_30day
  • sect8_food_security
  • sect9a_enterprise
  • sect9b_enterprise
  • sect9c_enterprise
  • sect9d_enterprise
  • sect10_assets
  • sect11a_credit
  • sect11b_credit
  • sect11c_credit
  • sect12a_beta
  • sect12a_safety
  • sect12b_safety
  • sect13_income
  • sect14_housing
  • sect16_shocks
  • sect17_crime_security
  • sect18_agriculture
  • sect19a_land
  • sect19b_land
  • totcons
  • sectc_cover
  • sectc1_resp
  • sectc2_infra
  • sectc3_org
  • sectc4a_land
  • sectc4a_prices
  • sectc4b_credit
  • sectc5_changes
  • sectc6_conflict
  • sectc8_foodprices
  • sect_result

How much does it cost to rent 1 acre of land for 1 year? (c04q01c)

Data file: sectc4a_prices

Overview

Valid: 2210
Invalid: 0
Mean: 556895.958
Type: Discrete
Decimal: 0
Start: 41
End: 49
Width: 9
Range: -9 - 200000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 -9. LAND IS NOT COMMONLY RENTED IN THIS COMMUNITY 758
34.3%
4 1
0%
10 2
0.1%
15 1
0%
30 1
0%
50 4
0.2%
150 1
0%
500 1
0%
720 1
0%
1000 6
0.3%
1500 5
0.2%
2000 20
0.9%
3000 20
0.9%
4000 12
0.5%
4250 1
0%
4500 1
0%
5000 148
6.7%
6000 10
0.5%
7000 12
0.5%
8000 14
0.6%
8500 7
0.3%
9000 1
0%
10000 195
8.8%
12000 13
0.6%
13000 1
0%
14000 3
0.1%
15000 77
3.5%
16000 20
0.9%
17000 5
0.2%
18000 1
0%
20000 111
5%
21000 1
0%
24000 19
0.9%
25000 18
0.8%
30000 65
2.9%
32000 3
0.1%
35000 1
0%
36000 1
0%
40000 38
1.7%
42500 1
0%
45000 4
0.2%
45500 1
0%
48000 3
0.1%
50000 99
4.5%
54000 1
0%
56000 1
0%
59500 1
0%
60000 18
0.8%
70000 7
0.3%
75000 5
0.2%
80000 19
0.9%
85000 1
0%
90000 4
0.2%
100000 72
3.3%
120000 16
0.7%
140000 1
0%
144000 2
0.1%
150000 35
1.6%
160000 1
0%
180000 4
0.2%
200000 29
1.3%
216000 1
0%
220000 1
0%
225000 2
0.1%
240000 1
0%
250000 15
0.7%
300000 29
1.3%
330000 1
0%
350000 3
0.1%
360000 4
0.2%
400000 6
0.3%
450000 2
0.1%
480000 10
0.5%
500000 28
1.3%
600000 15
0.7%
700000 4
0.2%
720000 17
0.8%
750000 4
0.2%
780000 1
0%
800000 9
0.4%
900000 1
0%
960000 3
0.1%
1000000 26
1.2%
1152000 1
0%
1200000 12
0.5%
1440000 2
0.1%
1500000 15
0.7%
1680000 4
0.2%
1800000 1
0%
1920000 1
0%
2000000 14
0.6%
2400000 5
0.2%
2500000 2
0.1%
3000000 5
0.2%
3600000 1
0%
4000000 1
0%
4800000 1
0%
5000000 8
0.4%
7000000 1
0%
8000000 3
0.1%
10000000 4
0.2%
11000000 1
0%
12000000 1
0%
13000000 1
0%
15000000 4
0.2%
17000000 1
0%
20000000 5
0.2%
32000000 1
0%
35000000 2
0.1%
45000000 1
0%
50000000 1
0%
60000000 1
0%
80000000 1
0%
100000000 1
0%
200000000 1
0%
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.
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