National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data
Tanzania, 2019 - 2020
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Reference ID
TZA_2019_NPS-SDD_v05_M
Producer(s)
World Bank
Collection(s)
Created on
Apr 13, 2021
Last modified
Jul 22, 2022
Page views
61043
Downloads
5212
- Data files
- HH_SEC_A
- HH_SEC_B
- HH_SEC_B1B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E1
- HH_SEC_E2
- HH_SEC_E3
- HH_SEC_F
- HH_SEC_G
- HH_SEC_G1A
- HH_SEC_G1AX.dta
- HH_SEC_G1B
- HH_SEC_G1BX.dta
- HH_SEC_G1C
- HH_SEC_G1CX.dta
- HH_SEC_G2
- HH_SEC_G3A
- HH_SEC_G3B
- HH_SEC_H
- HH_SEC_I
- HH_SEC_I2
- 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_V
- HH_SEC_WQT
- 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
- LF_SEC_02
- LF_SEC_03
- LF_SEC_04
- LF_SEC_05
- LF_SEC_06
- LF_SEC_07
- LF_SEC_08
- 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
- npssdd.panel.key.dta
- consumptionsdd.dta
- AG_SEC_3A_time.dta
- AG_SEC_3B_time.dta
- nps_sdd.child.anthro.dta
How much in total did the household spend on [NAME] in the past 4 weeks for non- (hh_d09)
Data file: HH_SEC_D
Overview
Valid:
5533
Invalid:
54
Minimum:
0
Maximum:
70000
Type:
Discrete
Decimal:
2
Start:
190
End:
197
Width:
8
Range:
0 - 70000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | NONE | 5062 |
90.6%
|
| 100 | 1 |
0%
|
|
| 200 | 4 |
0.1%
|
|
| 300 | 3 |
0.1%
|
|
| 400 | 2 |
0%
|
|
| 500 | 34 |
0.6%
|
|
| 600 | 3 |
0.1%
|
|
| 700 | 1 |
0%
|
|
| 800 | 1 |
0%
|
|
| 1000 | 48 |
0.9%
|
|
| 1100 | 1 |
0%
|
|
| 1200 | 6 |
0.1%
|
|
| 1300 | 1 |
0%
|
|
| 1500 | 21 |
0.4%
|
|
| 2000 | 49 |
0.9%
|
|
| 2400 | 2 |
0%
|
|
| 2500 | 15 |
0.3%
|
|
| 3000 | 59 |
1.1%
|
|
| 3300 | 2 |
0%
|
|
| 3400 | 1 |
0%
|
|
| 3500 | 20 |
0.4%
|
|
| 3600 | 1 |
0%
|
|
| 3700 | 1 |
0%
|
|
| 3900 | 1 |
0%
|
|
| 4000 | 16 |
0.3%
|
|
| 4300 | 1 |
0%
|
|
| 4500 | 8 |
0.1%
|
|
| 4800 | 1 |
0%
|
|
| 5000 | 46 |
0.8%
|
|
| 5200 | 1 |
0%
|
|
| 5300 | 1 |
0%
|
|
| 5500 | 1 |
0%
|
|
| 6000 | 13 |
0.2%
|
|
| 6600 | 1 |
0%
|
|
| 7000 | 12 |
0.2%
|
|
| 7500 | 2 |
0%
|
|
| 8000 | 8 |
0.1%
|
|
| 8500 | 1 |
0%
|
|
| 9000 | 3 |
0.1%
|
|
| 9500 | 1 |
0%
|
|
| 10000 | 27 |
0.5%
|
|
| 11000 | 1 |
0%
|
|
| 12000 | 8 |
0.1%
|
|
| 13000 | 4 |
0.1%
|
|
| 13300 | 1 |
0%
|
|
| 14000 | 1 |
0%
|
|
| 15000 | 13 |
0.2%
|
|
| 17000 | 2 |
0%
|
|
| 18000 | 2 |
0%
|
|
| 19000 | 2 |
0%
|
|
| 20000 | 7 |
0.1%
|
|
| 21000 | 2 |
0%
|
|
| 24000 | 1 |
0%
|
|
| 25000 | 2 |
0%
|
|
| 30000 | 2 |
0%
|
|
| 40000 | 1 |
0%
|
|
| 56000 | 1 |
0%
|
|
| 70000 | 1 |
0%
|
|
| Sysmiss | 54 |
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.