Rwanda - Rwanda - Demographic and Health Survey 2019-2020
| Reference ID | rwa-nisr-rdhs6-2019-2020-v01 |
| Year | 2019 - 2020 |
| Country | Rwanda |
| Producer(s) | National Institute of Statistics of Rwanda - Ministry of Finance and Economic Planning |
| Sponsor(s) | Government of Rwanda - GoR - Funding United States Agency for International Development - USAID - Financial Partner United Nations Children’s Fund - UNICEF - Financial Partner United Nations Population Fund - UNFPA - Financial Partner |
| Metadata |
Documentation in PDF
|
Created on
Feb 10, 2022
Last modified
Feb 10, 2022
Page views
5551630
- Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Birth Records (RW
BR81FL) - Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Couples Records (
RWCR81FL ) - RWFW81FL
- Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Household Records
(RWHR81FL) - Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Individual Record
s(women) (RWIR81FL) - Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Kids Records (RWK
R81FL) - Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Men Records (RWMR
81FL) - Microdata for the Rw
anda Demographic and
Health Survey 2019-
20 Persons Records (
RWPR81FL)
bmi standard deviation (new who)
(hw73_3)
File: Microdata for the Rwanda Demographic and Health Survey 2019-20 Individual Records(women) (RWIR81FL)
File: Microdata for the Rwanda Demographic and Health Survey 2019-20 Individual Records(women) (RWIR81FL)
Overview
Type:
Discrete Format: numeric Width: 8 Decimals: 0 Range: -114-9998 | Valid cases: 62 Invalid: 14572 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -114 | 1 | ||
| -83 | 1 | ||
| -61 | 1 | ||
| -52 | 1 | ||
| -45 | 1 | ||
| -44 | 1 | ||
| -34 | 1 | ||
| -33 | 1 | ||
| -32 | 1 | ||
| -30 | 1 | ||
| -24 | 1 | ||
| -17 | 1 | ||
| -9 | 1 | ||
| -7 | 1 | ||
| 2 | 1 | ||
| 4 | 1 | ||
| 8 | 1 | ||
| 12 | 1 | ||
| 15 | 2 | ||
| 22 | 1 | ||
| 23 | 1 | ||
| 26 | 1 | ||
| 27 | 1 | ||
| 30 | 1 | ||
| 33 | 1 | ||
| 39 | 1 | ||
| 50 | 1 | ||
| 52 | 1 | ||
| 55 | 1 | ||
| 58 | 1 | ||
| 62 | 1 | ||
| 67 | 1 | ||
| 68 | 1 | ||
| 72 | 1 | ||
| 77 | 2 | ||
| 82 | 1 | ||
| 92 | 1 | ||
| 105 | 2 | ||
| 107 | 1 | ||
| 109 | 2 | ||
| 118 | 1 | ||
| 119 | 1 | ||
| 120 | 1 | ||
| 129 | 1 | ||
| 130 | 1 | ||
| 133 | 1 | ||
| 137 | 1 | ||
| 145 | 1 | ||
| 150 | 1 | ||
| 156 | 1 | ||
| 158 | 1 | ||
| 166 | 1 | ||
| 196 | 1 | ||
| 215 | 1 | ||
| 222 | 1 | ||
| 226 | 1 | ||
| 262 | 1 | ||
| 271 | 1 | ||
| 9996 | height out of plausible limits | 0 | |
| 9997 | age in days out of plausible limits | 0 | |
| 9998 | flagged cases | 0 | |
| Sysmiss | 14572 |
warning_figures_indicate_number_of_cases_found


Documentation in PDF