National Panel Survey 2020-21, Wave 5
Wave 5
Tanzania, 2020 - 2022
Get Microdata
Reference ID
TZA_2020_NPS-R5_v02_M
Producer(s)
National Bureau of Statistics
Created on
Feb 06, 2023
Last modified
May 30, 2023
Page views
92529
Downloads
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- Data files
- hh_sec_a
- hh_sec_b
- hh_sec_c
- hh_sec_d
- hh_sec_e1
- hh_sec_e2
- hh_sec_e3
- hh_sec_f
- hh_sec_g
- hh_sec_h
- hh_sec_i
- hh_sec_i2
- hh_sec_j1
- hh_sec_j3
- hh_sec_j4
- hh_sec_ja1
- hh_sec_k
- hh_sec_l
- hh_sec_m
- hh_sec_n
- hh_sec_o1
- hh_sec_o2
- hh_sec_p
- hh_sec_q1
- hh_sec_q2
- hh_sec_r
- hh_sec_s
- hh_sec_u2
- hh_sec_v
- cm_sec_a
- cm_sec_b
- cm_sec_c
- cm_sec_d
- cm_sec_d2
- cm_sec_e
- cm_sec_f
- cm_sec_f_id
- cm_sec_g
- ag_sec_01
- ag_sec_02
- ag_sec_3a
- ag_sec_3b
- ag_sec_4a
- ag_sec_4b
- ag_sec_5a
- ag_sec_5b
- ag_sec_6a
- ag_sec_6b
- ag_sec_7a
- ag_sec_7b
- ag_sec_10
- ag_sec_11
- ag_sec_12a
- ag_sec_12b
- ag_filters
- lf_sec_02
- lf_sec_03
- lf_sec_04
- lf_sec_04a
- lf_sec_05
- lf_sec_06
- lf_sec_07
- lf_sec_08
- consumption_real_y4
- consumption_real_y5
- npsy5.panel.key
- npsy5.child.anthro
DISTRICT (cm_e19_c)
Data file: cm_sec_e
Overview
Valid:
73
Invalid:
415
Minimum:
11
Maximum:
251
Type:
Discrete
Decimal:
0
Width:
16
Range:
11 - 251
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | KONDOA | 1 |
0.2%
|
| 13 | KONGWA | 1 |
0.2%
|
| 14 | CHAMWINO | 3 |
0.6%
|
| 15 | DODOMA URBAN | 1 |
0.2%
|
| 16 | BAHI | 1 |
0.2%
|
| 17 | CHEMBA | 2 |
0.4%
|
| 34 | MOSHI RURAL | 1 |
0.2%
|
| 35 | HAI | 1 |
0.2%
|
| 46 | HANDENI | 1 |
0.2%
|
| 47 | KILINDI | 1 |
0.2%
|
| 51 | KILOSA | 1 |
0.2%
|
| 53 | KILOMBERO | 2 |
0.4%
|
| 54 | ULANGA | 1 |
0.2%
|
| 55 | MOROGORO URBAN | 1 |
0.2%
|
| 61 | BAGAMOYO | 2 |
0.4%
|
| 63 | KISARAWE | 1 |
0.2%
|
| 65 | RUFIJI | 2 |
0.4%
|
| 81 | KILWA | 1 |
0.2%
|
| 121 | CHUNYA | 2 |
0.4%
|
| 122 | MBEYA RURAL | 1 |
0.2%
|
| 125 | ILEJE | 1 |
0.2%
|
| 127 | MBALALI | 1 |
0.2%
|
| 128 | MBEYA URBAN | 1 |
0.2%
|
| 133 | MANYONI | 3 |
0.6%
|
| 135 | IKUNGI | 1 |
0.2%
|
| 136 | MKALAMA | 1 |
0.2%
|
| 142 | IGUNGA | 1 |
0.2%
|
| 143 | UYUI | 3 |
0.6%
|
| 144 | URAMBA | 1 |
0.2%
|
| 145 | SIKONGE | 1 |
0.2%
|
| 147 | KALIUA | 1 |
0.2%
|
| 152 | SUMBAWANGA RURAL | 2 |
0.4%
|
| 153 | NKASI | 4 |
0.8%
|
| 163 | KASULU RURAL | 2 |
0.4%
|
| 166 | UVINZA | 1 |
0.2%
|
| 167 | BUHIGWE | 1 |
0.2%
|
| 171 | SHINYANGA RURAL | 3 |
0.6%
|
| 172 | KISHAPU | 1 |
0.2%
|
| 175 | KAHAMA URBAN | 1 |
0.2%
|
| 183 | MULEBA | 1 |
0.2%
|
| 184 | BIHARAMULO | 4 |
0.8%
|
| 188 | KYERWA | 1 |
0.2%
|
| 195 | SENGEREMA | 1 |
0.2%
|
| 197 | MISUNGWI | 1 |
0.2%
|
| 211 | BABATI RURAL | 1 |
0.2%
|
| 213 | MBULU | 1 |
0.2%
|
| 214 | SIMANJIRO | 1 |
0.2%
|
| 215 | KITETO | 3 |
0.6%
|
| 232 | MPANDA RURAL | 1 |
0.2%
|
| 251 | GEITA | 1 |
0.2%
|
| Sysmiss | 415 |
85%
|
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.