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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / SLE_2003-2004_IHS_V01_EN_M_V01_A_OCS / variable [V54]
agricultural-surveys

Integrated Household Survey 2003-2004

Sierra Leone, 2003 - 2004
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Reference ID
SLE_2003-2004_IHS_v01_EN_M_v01_A_OCS
Producer(s)
Statistics Sierra Leone (SSL)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 25, 2020
Last modified
Nov 08, 2022
Page views
130762
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Section7_Housing
  • Section8E_FarmProcessed
  • Section8A1_Agriculture
  • Expenditure
  • Section1_HouseholdRoster
  • Section2_Education
  • Section3_Health
  • Section4_Occupation
  • Section5_Migration
  • Section7b_Anthropometric
  • Section8H_OwnConsumption
  • Section9A1_NonFood_Infrequent
  • Section9A2_NonFood_Frequent
  • Section9B_FoodPurchases
  • Section8A3_AgEquipment
  • Section8B1_PlotDetails
  • Section8D_Season
  • Section8F_Inputs
  • Section8G_Process
  • Section8A2_Livestock
  • Section10B_Enterprise1_Expenditure
  • Section10B_Enterprise2_Expenditure
  • Section10C_Enterprise1_Assets
  • Section10C_Enterprise2_Assets
  • Section10D_Enterprise_Income
  • Section10E_Enterprise_Income
    use
  • Section11BA_TransfersOUT
  • Section11BB_TransfersIN
  • Section11C_Miscellaneous
  • Section12A_HouseholdCredits
  • Section12B_HouseholdAssets
  • Section12C_HouseholdSavings
  • Section10A_Enterprise
  • comm_agriculture
  • comm_demographics
  • comm_economics
  • comm_education
  • comm_health
  • corr ea codes
  • CPI deflator
  • cyclebudget
  • cycles
  • date_interview
  • food prices
  • no of hhs per
    ea
  • price deflators
  • weights

Reasons for poverty 3 (s7fq39c)

Data file: Section7_Housing

Overview

Valid: 3685
Invalid: 35
Type: Discrete
Decimal: 0
Start: 120
End: 121
Width: 2
Range: 1 - 25
Format: Numeric

Questions and instructions

Literal question
What do you think the third reason is that has led your household to be in poverty?
Categories
Value Category Cases
1 LAck Ag Inputs 128
3.5%
2 Ag inputs not available 134
3.6%
3 Ag inputs misappropriated 127
3.4%
4 Low Ag production 273
7.4%
5 Drought 11
0.3%
6 Lack of Adequate Land 28
0.8%
7 Prices for Ag products too low 209
5.7%
8 Lack of buyers for Ag prod 46
1.2%
9 Lack of cattle 19
0.5%
10 Lack of Ag capital 261
7.1%
11 Lack of credit facilities 204
5.5%
12 Lack of capital for own business 321
8.7%
13 Lack of credit facilities for own business 160
4.3%
14 Lack of employment ops 101
2.7%
15 Salary is too low 65
1.8%
16 Prices too high 365
9.9%
17 Hard economic times 397
10.8%
18 Business not doing well 111
3%
19 Low profit from business 124
3.4%
20 Too much competition 25
0.7%
21 Loss of property due to war 405
11%
22 Loss of employment due to war 62
1.7%
23 Loss of limbs due to war 12
0.3%
24 Other 96
2.6%
25 1
0%
Sysmiss 35
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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