Protecting Early Childhood Development Impact Evaluation 2014-2015, Endline Survey
Malawi, 2014 - 2015
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Reference ID
MWI_2014_PECDIE-EL_v01_M
Producer(s)
Berk Ozler, Michelle J. Neuman, Lia Fernald
Metadata
Created on
Mar 08, 2019
Last modified
Mar 13, 2019
Page views
105610
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1. name of cbcc (cbcc_name)
Data file: r3.child.child_assessments_noid
Overview
Valid:
2034
Invalid:
0
Type:
Discrete
Start:
392
End:
417
Width:
26
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| AGAPE | 9 |
0.4%
|
|
| ALINAFE | 12 |
0.6%
|
|
| BAKALI | 5 |
0.2%
|
|
| BEULA | 12 |
0.6%
|
|
| BLUEGUM | 7 |
0.3%
|
|
| BONGOLO | 11 |
0.5%
|
|
| CHAKOMA | 9 |
0.4%
|
|
| CHAMPUNGA | 12 |
0.6%
|
|
| CHANDAMALE | 12 |
0.6%
|
|
| CHANTHUNYA | 11 |
0.5%
|
|
| CHENYENTHA | 12 |
0.6%
|
|
| CHIDERO | 10 |
0.5%
|
|
| CHIFUNDO | 19 |
0.9%
|
|
| CHIGUMA | 12 |
0.6%
|
|
| CHIGWIRIZANO | 11 |
0.5%
|
|
| CHIHAME | 12 |
0.6%
|
|
| CHIKAONEKA | 11 |
0.5%
|
|
| CHIKONDANO | 7 |
0.3%
|
|
| CHIKONDI | 12 |
0.6%
|
|
| CHIKWINA | 7 |
0.3%
|
|
| CHILOMO | 10 |
0.5%
|
|
| CHIMTENDERE | 12 |
0.6%
|
|
| CHIMVULUVULU | 11 |
0.5%
|
|
| CHIMWALA | 5 |
0.2%
|
|
| CHIMWEMWE | 24 |
1.2%
|
|
| CHIMWEMWE NURSERY | 11 |
0.5%
|
|
| CHINGAGWE | 10 |
0.5%
|
|
| CHINGULUWE | 8 |
0.4%
|
|
| CHINJOBVU | 11 |
0.5%
|
|
| CHIPEMBERE | 12 |
0.6%
|
|
| CHITAPATA | 12 |
0.6%
|
|
| CHITOTOLA | 11 |
0.5%
|
|
| CHITSANZO | 12 |
0.6%
|
|
| CHITUNGULU/MPHIMBI | 12 |
0.6%
|
|
| CHIYAMBI | 22 |
1.1%
|
|
| CHIYAMBI 2 | 9 |
0.4%
|
|
| CHIZI | 12 |
0.6%
|
|
| DALITSO | 11 |
0.5%
|
|
| DINDANO | 12 |
0.6%
|
|
| FERRY CCAP | 12 |
0.6%
|
|
| FOLIJI | 12 |
0.6%
|
|
| FOMBE A | 10 |
0.5%
|
|
| FUTURE | 12 |
0.6%
|
|
| GARDEN | 8 |
0.4%
|
|
| GOGO LIKOYA | 10 |
0.5%
|
|
| HAPPY | 11 |
0.5%
|
|
| HENRY | 11 |
0.5%
|
|
| HOPE FOR FUTURE | 10 |
0.5%
|
|
| JEKA (JECA) | 12 |
0.6%
|
|
| JUWAMUNGU | 11 |
0.5%
|
|
| KABOKO | 6 |
0.3%
|
|
| KACHERE | 40 |
2%
|
|
| KACHIMANGA | 10 |
0.5%
|
|
| KADZUMA | 12 |
0.6%
|
|
| KALILOMBE | 12 |
0.6%
|
|
| KAMBATI | 9 |
0.4%
|
|
| KAMOZA | 10 |
0.5%
|
|
| KAMUSITA | 7 |
0.3%
|
|
| KANDE MPHATSO | 9 |
0.4%
|
|
| KANGANKUNDI | 12 |
0.6%
|
|
| KANING'INA | 11 |
0.5%
|
|
| KANJEDZA | 8 |
0.4%
|
|
| KANKHOMBA | 12 |
0.6%
|
|
| KAOMBE | 12 |
0.6%
|
|
| KASINGO | 10 |
0.5%
|
|
| KATENTHERE | 12 |
0.6%
|
|
| KAUMPHAWI | 12 |
0.6%
|
|
| KAWALAZI | 7 |
0.3%
|
|
| KAWALAZI/CHILALA | 10 |
0.5%
|
|
| KAZIWA | 12 |
0.6%
|
|
| KHOSWE | 12 |
0.6%
|
|
| KONDWERANI | 8 |
0.4%
|
|
| LEMU | 12 |
0.6%
|
|
| LIKWEZEMBE | 12 |
0.6%
|
|
| LISALE | 12 |
0.6%
|
|
| LOMOLA | 12 |
0.6%
|
|
| M'BWEMBA | 11 |
0.5%
|
|
| M'GOZA | 11 |
0.5%
|
|
| M'MERA MPOYAMBA | 11 |
0.5%
|
|
| MADALITSO | 21 |
1%
|
|
| MAGOMBO | 7 |
0.3%
|
|
| MAKANDI | 12 |
0.6%
|
|
| MAKASU | 11 |
0.5%
|
|
| MALAZA | 11 |
0.5%
|
|
| MALIRANKHANDWE | 23 |
1.1%
|
|
| MALIRANKHANGA | 11 |
0.5%
|
|
| MANGALALA | 11 |
0.5%
|
|
| MANGUNDA | 7 |
0.3%
|
|
| MAPANGA | 12 |
0.6%
|
|
| MASAYE PODCAM | 12 |
0.6%
|
|
| MATCHINGO (POSITIVE STEPS) | 8 |
0.4%
|
|
| MATCHUWANA | 12 |
0.6%
|
|
| MATOWE | 7 |
0.3%
|
|
| MAZEMBE | 11 |
0.5%
|
|
| MBAMBA MPHATSO | 12 |
0.6%
|
|
| MBAZI | 12 |
0.6%
|
|
| MBINGWA | 11 |
0.5%
|
|
| MCHENGA | 8 |
0.4%
|
|
| MDYAKA | 12 |
0.6%
|
|
| MGODI | 5 |
0.2%
|
|
| MIKOLONGWE | 7 |
0.3%
|
|
| MIKOWE | 5 |
0.2%
|
|
| MISOMALI | 11 |
0.5%
|
|
| MKONDEZI | 11 |
0.5%
|
|
| MLEMBA | 11 |
0.5%
|
|
| MMAMBO | 12 |
0.6%
|
|
| MOLOSI | 10 |
0.5%
|
|
| MONEKELA (MUONEKERA) | 12 |
0.6%
|
|
| MPHATSO 2 | 11 |
0.5%
|
|
| MPHEMBERE | 6 |
0.3%
|
|
| MPHENZI | 7 |
0.3%
|
|
| MPOLOTA | 6 |
0.3%
|
|
| MPONDA | 10 |
0.5%
|
|
| MPULULA | 11 |
0.5%
|
|
| MSANI | 10 |
0.5%
|
|
| MSIYA | 8 |
0.4%
|
|
| MTAWA | 9 |
0.4%
|
|
| MTAYA | 12 |
0.6%
|
|
| MTENDERE | 26 |
1.3%
|
|
| MTHOLOLA | 12 |
0.6%
|
|
| MTOKO | 6 |
0.3%
|
|
| MULORE MACALPINE | 10 |
0.5%
|
|
| MURAKHO | 12 |
0.6%
|
|
| MWAIWATHU | 19 |
0.9%
|
|
| MWAYA | 11 |
0.5%
|
|
| MWAYE | 12 |
0.6%
|
|
| MWAYI | 7 |
0.3%
|
|
| MWAZAONGA | 12 |
0.6%
|
|
| NACHIPERE | 9 |
0.4%
|
|
| NAKHOMBE | 11 |
0.5%
|
|
| NAMALALANJE | 11 |
0.5%
|
|
| NAMGUNDA | 11 |
0.5%
|
|
| NAMILEME | 12 |
0.6%
|
|
| NAMPIRA | 4 |
0.2%
|
|
| NANG'OMBE | 9 |
0.4%
|
|
| NANJODI | 12 |
0.6%
|
|
| NANSATO | 11 |
0.5%
|
|
| NAVEYA | 12 |
0.6%
|
|
| NDAKULA | 11 |
0.5%
|
|
| NGOZA | 12 |
0.6%
|
|
| NJALE 2 | 8 |
0.4%
|
|
| NJILAYAGOMA | 9 |
0.4%
|
|
| NKHAFU | 12 |
0.6%
|
|
| NKHAWAZATHU | 11 |
0.5%
|
|
| NKHWALI | 12 |
0.6%
|
|
| NSANGU | 8 |
0.4%
|
|
| NTCHEMO | 10 |
0.5%
|
|
| NTHAWITSA | 8 |
0.4%
|
|
| NTHENGOMWACHA | 12 |
0.6%
|
|
| NYAMBWA | 9 |
0.4%
|
|
| NYANYALA | 11 |
0.5%
|
|
| NZUMILA | 12 |
0.6%
|
|
| PHALULA | 9 |
0.4%
|
|
| PILITU | 11 |
0.5%
|
|
| SAMUTI | 12 |
0.6%
|
|
| SANDAMA CENTER | 6 |
0.3%
|
|
| SELE | 12 |
0.6%
|
|
| SHUKURANI | 12 |
0.6%
|
|
| SITAPE | 5 |
0.2%
|
|
| SONGA MPHATSO | 11 |
0.5%
|
|
| ST KIZITO | 12 |
0.6%
|
|
| SUSA EMMANUEL | 9 |
0.4%
|
|
| TAFIKA | 24 |
1.2%
|
|
| TAWONGA | 5 |
0.2%
|
|
| THAMANGIRA | 11 |
0.5%
|
|
| THOOLO | 11 |
0.5%
|
|
| THULA A | 8 |
0.4%
|
|
| TIGWILIZANE | 11 |
0.5%
|
|
| TISINTHE | 12 |
0.6%
|
|
| TITHETSE | 12 |
0.6%
|
|
| TIVWANANE | 10 |
0.5%
|
|
| TIWALE | 12 |
0.6%
|
|
| TIYAMIKE | 8 |
0.4%
|
|
| TIYANJANE | 20 |
1%
|
|
| TIYESE | 8 |
0.4%
|
|
| TIYESE CHIGANGA | 12 |
0.6%
|
|
| TIYESELE | 7 |
0.3%
|
|
| TOMORROW PEOPLE | 9 |
0.4%
|
|
| TOVYANE | 12 |
0.6%
|
|
| ULEMU | 7 |
0.3%
|
|
| UMODZI | 23 |
1.1%
|
|
| UMODZI BAPTIST | 11 |
0.5%
|
|
| UMODZI NDI MPHAMVU | 12 |
0.6%
|
|
| VILEMBA | 6 |
0.3%
|
|
| YENDA | 12 |
0.6%
|
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.