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
Collection(s)
Metadata
Created on
Jan 30, 2023
Last modified
Mar 03, 2023
Page views
223479
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
Unique ID for First-Stage Sampling Unit (strataid)
Data file: hh_sec_a
Overview
Valid:
4164
Invalid:
545
Minimum:
1
Maximum:
51
Type:
Discrete
Decimal:
0
Width:
19
Range:
1 - 51
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | DODOMA - URBAN | 22 |
0.5%
|
| 2 | DODOMA - RURAL | 77 |
1.6%
|
| 3 | ARUSHA - URBAN | 27 |
0.6%
|
| 4 | ARUSHA - RURAL | 79 |
1.7%
|
| 5 | KILIMANJARO - URBAN | 43 |
0.9%
|
| 6 | KILIMANJARO - RURAL | 111 |
2.4%
|
| 7 | TANGA - URBAN | 11 |
0.2%
|
| 8 | TANGA - RURAL | 98 |
2.1%
|
| 9 | MOROGORO - URBAN | 48 |
1%
|
| 10 | MOROGORO - RURAL | 78 |
1.7%
|
| 11 | PWANI - URBAN | 31 |
0.7%
|
| 12 | PWANI - RURAL | 53 |
1.1%
|
| 13 | DAR ES SALAAM | 558 |
11.8%
|
| 14 | LINDI - URBAN | 14 |
0.3%
|
| 15 | LINDI - RURAL | 93 |
2%
|
| 16 | MTWARA - URBAN | 30 |
0.6%
|
| 17 | MTWARA - RURAL | 166 |
3.5%
|
| 18 | RUVUMA - URBAN | 30 |
0.6%
|
| 19 | RUVUMA - RURAL | 66 |
1.4%
|
| 20 | IRINGA - URBAN | 37 |
0.8%
|
| 21 | IRINGA - RURAL | 65 |
1.4%
|
| 22 | MBEYA - URBAN | 28 |
0.6%
|
| 23 | MBEYA - RURAL | 119 |
2.5%
|
| 24 | SINGIDA - URBAN | 21 |
0.4%
|
| 25 | SINGIDA - RURAL | 51 |
1.1%
|
| 26 | TABORA - URBAN | 16 |
0.3%
|
| 27 | TABORA - RURAL | 186 |
3.9%
|
| 28 | RUKWA - URBAN | 16 |
0.3%
|
| 29 | RUKWA - RURAL | 28 |
0.6%
|
| 30 | KIGOMA - URBAN | 24 |
0.5%
|
| 31 | KIGOMA - RURAL | 113 |
2.4%
|
| 32 | SHINYANGA - URBAN | 19 |
0.4%
|
| 33 | SHINYANGA - RURAL | 147 |
3.1%
|
| 34 | KAGERA - URBAN | 18 |
0.4%
|
| 35 | KAGERA - RURAL | 187 |
4%
|
| 36 | MWANZA - URBAN | 51 |
1.1%
|
| 37 | MWANZA - RURAL | 142 |
3%
|
| 38 | MARA - URBAN | 20 |
0.4%
|
| 39 | MARA - RURAL | 81 |
1.7%
|
| 40 | MANYARA - URBAN | 18 |
0.4%
|
| 41 | MANYARA - RURAL | 62 |
1.3%
|
| 42 | NJOMBE - URBAN | 15 |
0.3%
|
| 43 | NJOMBE - RURAL | 34 |
0.7%
|
| 44 | KATAVI - URBAN | 18 |
0.4%
|
| 45 | KATAVI - RURAL | 60 |
1.3%
|
| 46 | SIMIYU - URBAN | 19 |
0.4%
|
| 47 | SIMIYU - RURAL | 149 |
3.2%
|
| 48 | GEITA - URBAN | 15 |
0.3%
|
| 49 | GEITA - RURAL | 103 |
2.2%
|
| 50 | ZANZIBAR - URBAN | 372 |
7.9%
|
| 51 | ZANZIBAR - RURAL | 295 |
6.3%
|
| Sysmiss | 545 |
11.6%
|
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.