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    Home / Central Data Catalog / MOZ_2016_IGPPIE_V01_M / variable [F14]
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Integrated Growth Poles Project 2016, Impact Evaluation, Baseline Survey

Mozambique, 2016
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Reference ID
MOZ_2016_IGPPIE_v01_M
Producer(s)
Francisco Campos, Joao Montalvao, Claire Boxho
Metadata
DDI/XML JSON
Study website
Created on
Sep 07, 2022
Last modified
Sep 07, 2022
Page views
69685
Downloads
144
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Section_A.dta
  • Section_B.dta
  • Section_C.dta
  • Section_D.dta
  • Section_E.dta
  • Section_F.dta
  • Section_G.dta
  • Section_J.dta
  • Section_K.dta
  • Section_L1.dta
  • Section_L2.dta
  • Section_M.dta
  • Section_N.dta
  • Section_Q.dta
  • Section_R.dta
  • Section_A.dta
  • Section_B.dta
  • Section_C.dta
  • Section_D.dta
  • Section_D4.dta
  • Section_E.dta
  • Section_F.dta
  • Section_G.dta
  • Section_M.dta
  • Section_P.dta
  • Section_Q.dta
  • Section_T.dta
  • Section_V.dta
  • Section_X.dta
  • Section_Y.dta

Q1. Codigo Cultura (q1)

Data file: Section_Q.dta

Overview

Valid: 10200
Invalid: -
Minimum: 1
Maximum: 661
Type: Discrete
Decimal: 0
Start: 32
End: 34
Width: 3
Range: 1 - 661
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Milho 300
2.9%
2 Arroz 300
2.9%
3 Mapira 300
2.9%
4 Mexoeira 300
2.9%
5 Amendoim grande 300
2.9%
6 Amendoim pequeno 300
2.9%
7 Feijao manteiga 300
2.9%
8 Feijao Nhemba 300
2.9%
9 Feijao Jugo 300
2.9%
10 Feijao Boer 300
2.9%
11 Batata Reno 300
2.9%
12 Mandioca 300
2.9%
13 Batata doce 300
2.9%
20 Algodao 300
2.9%
21 Tabaco 300
2.9%
23 Cha 300
2.9%
24 Jatrofa 300
2.9%
25 Girassol 300
2.9%
26 Gergelim 300
2.9%
28 Paprica 300
2.9%
30 Horticolas 300
2.9%
31 Trigo 300
2.9%
140 Inhame 300
2.9%
511 Abacate 300
2.9%
521 Ananas 300
2.9%
540 Banana 300
2.9%
551 Goiaba 300
2.9%
561 Laranja 300
2.9%
571 Limao 300
2.9%
611 Mafurra 300
2.9%
621 Manga 300
2.9%
631 Papaia 0
0%
632 Massanica 300
2.9%
633 Malambe 300
2.9%
661 Tangerina 300
2.9%
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.
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