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    Home / Central Data Catalog / RWA_2000_EICV-I_V01_M / variable [F5]
central

Integrated Household Living Conditions Survey 2000-2001

Rwanda, 1999 - 2001
Reference ID
RWA_2000_EICV-I_v01_M
Producer(s)
National Institute of Statistics of Rwanda (NISR)
Metadata
DDI/XML JSON
Study website
Created on
Jul 10, 2013
Last modified
Mar 29, 2019
Page views
108732
Downloads
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  • Study Description
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  • Data files
  • Comm_Sect1
  • Comm_Sect2
  • Comm_Sect3
  • Comm_Sect4
  • Comm_Sect5A
  • Comm_Sect5B
  • Comm_Sect6
  • s0_id
  • s1_demographics
  • s2_education
  • s3_health
  • s4_occupation
  • s5_migration
  • s6_housing
  • s8_agriculture
  • s8_farm_assets
  • s8_farm_expense
  • s8_farm_land
  • s8_farm_largescale1
  • s8_farm_largescale2
  • s8_farm_plot_details
  • s8_farm_plot_prod
  • s8_farm_processing
  • s8_farm_seasonality
  • s8_farm_smallscale1
  • s8_farm_smallscale2
  • s8_forestry
  • s8_livestock
  • s8_livestock_expense
  • s8_livestock_products
  • s8_other_revenue
  • s8_own_cons
  • s9_expen_avail
  • s9_expen_food
  • s9_expen_nonfood_1
  • s9_expen_nonfood_2
  • s9_expen_nonfood_3
  • s9_expen_other
  • s10_enter_1
  • s10_enter_2
  • s10_enter_3
  • s10_enter_4
  • s10_enter_5
  • s10_enter_6
  • s10_enter_7
  • s10_enter_8
  • s10_enter_9
  • s10_enter_10
  • s10_enter_11
  • s10_enter_12
  • s11_misc_in
  • s11_misc_out
  • s11_tran_in
  • s11_tran_out
  • s12_credit
  • s12_saving
  • s12_durables

Crop Code (cs5q1)

Data file: Comm_Sect5A

Overview

Valid: 3166
Invalid: 0
Type: Discrete
Decimal: 0
Start: 18
End: 21
Width: 4
Range: -
Format:

Questions and instructions

Categories
Value Category
1701
1801 thru 1808 'Cereals'
1802
1804
1805
1806
1807
1808
1901 thru 1906 'Roots'
1902
1903
1904
1905
1906
1907
1909
2001 thru 2004 'Legumes'
2002
2003
2004
2006
2008
2101 thru 2115 'Fruits'
2102
2103
2104
2106
2107
2108
2111
2113
2201 thru 2220 'Vegetables'
2203
2204
2207
2208
2210
2211
2212
2213
2219
2220
2222
2801
3101 Coffee
3102 Tea
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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