National Panel Survey 2014-2015, Wave 4
Tanzania, 2014 - 2015
Get Microdata
Reference ID
TZA_2014_NPS-R4_v03_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Jul 17, 2017
Last modified
Jan 30, 2020
Page views
540939
Downloads
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- 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
- hh_filters
- hh_sec_a
- 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
- npsy4.child.anthro
- npsy4.ea.offset
- LF_SEC_10
- 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
- consumptionNPS4
From what location did [SOURCE] send these remittances? (hh_q20)
Data file: hh_sec_q2
Overview
Valid:
1645
Invalid:
2258
Minimum:
1
Maximum:
71
Type:
Discrete
Decimal:
0
Start:
35
End:
36
Width:
2
Range:
1 - 71
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | dodoma | 42 |
2.6%
|
| 2 | arusha | 95 |
5.8%
|
| 3 | kilimanjaro | 64 |
3.9%
|
| 4 | tanga | 50 |
3%
|
| 5 | morogoro | 74 |
4.5%
|
| 6 | pwani | 42 |
2.6%
|
| 7 | DAR ES SALAAM | 418 |
25.4%
|
| 8 | lindi | 44 |
2.7%
|
| 9 | mtwara | 74 |
4.5%
|
| 10 | ruvuma | 32 |
1.9%
|
| 11 | iringa | 71 |
4.3%
|
| 12 | mbeya | 65 |
4%
|
| 13 | singida | 17 |
1%
|
| 14 | tabora | 39 |
2.4%
|
| 15 | rukwa | 25 |
1.5%
|
| 16 | kigoma | 26 |
1.6%
|
| 17 | shinyanga | 52 |
3.2%
|
| 18 | kagera | 67 |
4.1%
|
| 19 | mwanza | 104 |
6.3%
|
| 20 | mara | 39 |
2.4%
|
| 21 | manyara | 17 |
1%
|
| 22 | njombe | 19 |
1.2%
|
| 23 | katavi | 18 |
1.1%
|
| 24 | simiyu | 30 |
1.8%
|
| 25 | geita | 38 |
2.3%
|
| 51 | KASKAZINI UNGUJA | 8 |
0.5%
|
| 52 | KUSINI UNGUJA | 2 |
0.1%
|
| 53 | MJINI/MAGHARIBI UNGUJA | 23 |
1.4%
|
| 54 | KASKAZINI PEMBA | 7 |
0.4%
|
| 55 | KUSINI PEMBA | 1 |
0.1%
|
| 61 | usa | 6 |
0.4%
|
| 62 | uk | 8 |
0.5%
|
| 63 | uae | 7 |
0.4%
|
| 64 | SOUTH AFRICA | 3 |
0.2%
|
| 65 | japan | 0 |
0%
|
| 66 | india | 0 |
0%
|
| 67 | kenya | 7 |
0.4%
|
| 68 | uganda | 0 |
0%
|
| 69 | germany | 0 |
0%
|
| 70 | canada | 1 |
0.1%
|
| 71 | OTHER (SPECIFY) | 10 |
0.6%
|
| Sysmiss | 2258 |
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.