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
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
76738
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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
Where did residents of this village take their livestock? (Region Code) (cm_e19_b)
Data file: com_sec_ce
Overview
Valid:
81
Invalid:
335
Minimum:
1
Maximum:
25
Type:
Discrete
Decimal:
0
Start:
90
End:
91
Width:
2
Range:
1 - 55
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | DODOMA | 8 |
9.9%
|
| 2 | ARUSHA | 4 |
4.9%
|
| 3 | KILIMANJARO | 3 |
3.7%
|
| 4 | TANGA | 2 |
2.5%
|
| 5 | MOROGORO | 1 |
1.2%
|
| 6 | PWANI | 1 |
1.2%
|
| 7 | DAR ES SALAAM | 0 |
0%
|
| 8 | LINDI | 0 |
0%
|
| 9 | MTWARA | 0 |
0%
|
| 10 | RUVUMA | 0 |
0%
|
| 11 | IRINGA | 0 |
0%
|
| 12 | MBEYA | 1 |
1.2%
|
| 13 | SINGIDA | 2 |
2.5%
|
| 14 | TABORA | 21 |
25.9%
|
| 15 | RUKWA | 2 |
2.5%
|
| 16 | KIGOMA | 4 |
4.9%
|
| 17 | SHINYANGA | 0 |
0%
|
| 18 | KAGERA | 9 |
11.1%
|
| 19 | MWANZA | 2 |
2.5%
|
| 20 | MARA | 5 |
6.2%
|
| 21 | MANYARA | 4 |
4.9%
|
| 22 | NJOMBE | 0 |
0%
|
| 23 | KATAVI | 4 |
4.9%
|
| 24 | SIMIYU | 4 |
4.9%
|
| 25 | GEITA | 4 |
4.9%
|
| 51 | KASKAZINI UNGUJA | 0 |
0%
|
| 52 | KUSINI UNGUJA | 0 |
0%
|
| 53 | MJINI/MAGHARIBI UNGUJA | 0 |
0%
|
| 54 | KASKAZINI PEMBA | 0 |
0%
|
| 55 | KUSINI PEMBA | 0 |
0%
|
| Sysmiss | 335 |
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.