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    Home / Central Data Catalog / GEO_1999_RHS_V01_M / variable [F16]
central

Reproductive Health Survey 1999-2000

Georgia, 1999 - 2000
Reference ID
GEO_1999_RHS_V01_M
Producer(s)
Georgian Center for Disease Control (NCDC), Georgian Ministry of Labor
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
515
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • cover
  • hhcard
  • roster2004
  • section1_3
  • section1_4
  • section1_6
  • section2
  • section3
  • section4_1
  • section4_2
  • section4_3
  • section4_4
  • section4_5
  • section5_1
  • section5_2
  • section6
  • section7_1
  • section7_2
  • section8_1_1
  • section8_1_2
  • section8_1_3
  • section8_1_4a
  • section8_1_4b
  • section8_1_4linear
  • section8_2_1
  • section8_2_2
  • section8_2_3
  • section8_3
  • section8_4
  • section8_5
  • section8_6
  • section9_1
  • section9_2
  • section9_3
  • section9_4
  • section9_5
  • section9_6a
  • section10_1
  • section10_2
  • section10_3
  • section11_1
  • section11_2_1
  • section11_2_2
  • section11_3a
  • section11_3b
  • section12_1
  • section12_2
  • section13_1
  • section13_2
  • section13_3
  • expend04
  • foodexp
  • hhxhous
  • hhxrem
  • hhyagr
  • hhycas
  • hhyhous
  • hhynlab
  • hhyreg
  • hhyrem
  • hhysemp
  • income04
  • occnfexp
  • regnfexp
  • ycas
  • yreg
CSV JSON

a2b total amount received by the first person in the last month (amt_rec1)

Data file: section6

Overview

Valid: 1147
Invalid: 0
Type: Discrete
Decimal: 0
Range: -
Format:

Questions and instructions

Categories
Value Category
-5 other
-4 missing data
-3 refused to answer
-2 not applicable
-1 do not know
75
100
130
140
150
160
170
180
200
240
250
251
270
300
320
333
340
350
370
400
450
500
500.3
510
520
530
570
600
600.4
610
620
630
640
647
650
660
670
680
690
700
710
720
740
750
780
800
900
944
1000
1040
1100
1200
1284
1300
1500
1600.68
1603
1700
1800
1900
2000
2200
2500
3000
3200
3237
3300
3800
3900
4000
4100
5000
5600
6000
8000
13000
18000
55000
65000
93000
100000
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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