National Panel Survey 2014-2015
Wave 4 - Extended Panel
Tanzania, 2013 - 2016
Get Microdata
Reference ID
TZA_2014_NPS-R4_v03_M_v03_A_EXT
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
May 20, 2019
Last modified
Dec 14, 2022
Page views
223463
Downloads
12059
- Data files
- ag_filters
- ag_network
- ag_sec_01
- ag_sec_2a
- ag_sec_2b
- 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_sec_a
- com_sec_a1a2
- com_sec_cb
- com_sec_cc
- com_sec_cd
- com_sec_ce
- com_sec_cf
- com_sec_cf_id
- com_sec_cg
- hh_filters
- hh_sec_b
- hh_sec_c
- hh_sec_d
- hh_sec_e
- hh_sec_f
- hh_sec_g
- hh_sec_h
- hh_sec_i
- hh_sec_j1
- hh_sec_j3
- hh_sec_j4
- 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
- lf_filters
- lf_network
- lf_sec_01
- lf_sec_02
- lf_sec_03
- lf_sec_04
- lf_sec_05
- lf_sec_06
- lf_sec_07
- lf_sec_08
- lf_sec_09
- lf_sec_11a
- lf_sec_11b
- lf_sec_12
- lf_sec_13a
- lf_sec_13b
- lf_sec_a
- hh_sec_a
- consumptionnps4_extended_panel
From which ID_DISTRICT did you move? - ID_REGION (hh_b27_2)
Data file: hh_sec_b
Overview
Valid:
1798
Invalid:
2944
Minimum:
1
Maximum:
55
Type:
Discrete
Decimal:
0
Start:
123
End:
124
Width:
2
Range:
1 - 55
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | dodoma | 34 |
1.9%
|
| 2 | arusha | 47 |
2.6%
|
| 3 | kilimanjaro | 51 |
2.8%
|
| 4 | tanga | 92 |
5.1%
|
| 5 | morogoro | 94 |
5.2%
|
| 6 | pwani | 34 |
1.9%
|
| 7 | DAR ES SALAAM | 329 |
18.3%
|
| 8 | lindi | 70 |
3.9%
|
| 9 | mtwara | 95 |
5.3%
|
| 10 | ruvuma | 47 |
2.6%
|
| 11 | iringa | 59 |
3.3%
|
| 12 | mbeya | 43 |
2.4%
|
| 13 | singida | 28 |
1.6%
|
| 14 | tabora | 66 |
3.7%
|
| 15 | rukwa | 41 |
2.3%
|
| 16 | kigoma | 25 |
1.4%
|
| 17 | shinyanga | 77 |
4.3%
|
| 18 | kagera | 112 |
6.2%
|
| 19 | mwanza | 76 |
4.2%
|
| 20 | mara | 51 |
2.8%
|
| 21 | manyara | 4 |
0.2%
|
| 22 | njombe | 21 |
1.2%
|
| 23 | katavi | 4 |
0.2%
|
| 24 | simiyu | 74 |
4.1%
|
| 25 | geita | 87 |
4.8%
|
| 51 | KASKAZINI UNGUJA | 8 |
0.4%
|
| 52 | KUSINI UNGUJA | 15 |
0.8%
|
| 53 | MJINI/MAGHARIBI UNGUJA | 63 |
3.5%
|
| 54 | KASKAZINI PEMBA | 30 |
1.7%
|
| 55 | KUSINI PEMBA | 21 |
1.2%
|
| Sysmiss | 2944 |
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.