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
Created on
Feb 06, 2023
Last modified
May 30, 2023
Page views
92877
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
Food Item ID (item_id)
Data file: cm_sec_f_id
Overview
Valid:
25376
Invalid:
0
Minimum:
1
Maximum:
52
Type:
Discrete
Decimal:
0
Width:
20
Range:
1 - 52
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | RICE (PADDY) | 488 |
1.9%
|
| 2 | RICE (HUSKED) | 488 |
1.9%
|
| 3 | MAIZE (GREEN, COB) | 488 |
1.9%
|
| 4 | MAIZE (GRAIN) | 488 |
1.9%
|
| 5 | MAIZE (FLOUR) | 488 |
1.9%
|
| 6 | MILLET (GRAIN) | 488 |
1.9%
|
| 7 | SORGHUM (GRAIN) | 488 |
1.9%
|
| 8 | MILLET (FLOUR) | 488 |
1.9%
|
| 9 | SORGHUM (FLOUR) | 488 |
1.9%
|
| 10 | BREAD | 488 |
1.9%
|
| 11 | BUNS | 488 |
1.9%
|
| 12 | CASSAVA FRESH | 488 |
1.9%
|
| 13 | CASSAVA (DRY) | 488 |
1.9%
|
| 14 | CASSAVA FLOUR | 488 |
1.9%
|
| 15 | SWEET POTATOES | 488 |
1.9%
|
| 16 | COCOYAMS | 488 |
1.9%
|
| 17 | YAMS | 488 |
1.9%
|
| 18 | IRISH POTATOES | 488 |
1.9%
|
| 19 | COOKING BANANAS | 488 |
1.9%
|
| 20 | SUGAR | 488 |
1.9%
|
| 21 | BEANS | 488 |
1.9%
|
| 22 | PEAS | 488 |
1.9%
|
| 23 | GROUNDNUTS | 488 |
1.9%
|
| 24 | COCONUTS | 488 |
1.9%
|
| 25 | CARROTS | 488 |
1.9%
|
| 26 | TOMATOES | 488 |
1.9%
|
| 27 | ONIONS | 488 |
1.9%
|
| 28 | SPINACH | 488 |
1.9%
|
| 29 | CABBAGE | 488 |
1.9%
|
| 30 | RIPE BANANAS | 488 |
1.9%
|
| 31 | CITRUS FRUITS | 488 |
1.9%
|
| 32 | PAPAYA | 488 |
1.9%
|
| 33 | MANGOES | 488 |
1.9%
|
| 34 | GOAT MEAT | 488 |
1.9%
|
| 35 | BEEF | 488 |
1.9%
|
| 36 | CHICKEN (LIVE) | 488 |
1.9%
|
| 37 | EGGS | 488 |
1.9%
|
| 38 | FRESH FISH | 488 |
1.9%
|
| 39 | DAGAA | 488 |
1.9%
|
| 40 | FRESH MILK | 488 |
1.9%
|
| 41 | CANNED MILK/POWDER | 488 |
1.9%
|
| 42 | COOKING OIL | 488 |
1.9%
|
| 43 | SALT | 488 |
1.9%
|
| 44 | TEA (DRY) | 488 |
1.9%
|
| 45 | LOCAL BREWS | 488 |
1.9%
|
| 46 | KEROSINE | 488 |
1.9%
|
| 47 | CHARCOAL | 488 |
1.9%
|
| 48 | MAIZE GRINDING COSTS | 488 |
1.9%
|
| 49 | FIREWOOD | 488 |
1.9%
|
| 50 | MATCHES | 488 |
1.9%
|
| 51 | CIGARETTES | 488 |
1.9%
|
| 52 | BATTERIES | 488 |
1.9%
|
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.