Vocational Training Plus Program and Women’s Empowerment: Impact Evaluation 2022
Baseline dataset without Social Networks module

Nigeria, 2022

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Reference ID

NGA_2022_VTPPWEIE-BL_v01_M

Producer(s)

Julia Vaillant, Abhilasha Sahay, Nono Ayivi-Guedehoussou, Olaide Asimiyu Akin-Olagunju, Maria Emilia Cucagna

Collection(s)

Impact Evaluation Surveys

Metadata

Documentation in PDF DDI/XML JSON

Created on

Jun 30, 2026

Last modified

Jun 30, 2026

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448

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Identification

Survey ID number

NGA_2022_VTPPWEIE-BL_v01_M

Title

Vocational Training Plus Program and Women’s Empowerment: Impact Evaluation 2022

Subtitle

Baseline dataset without Social Networks module

Abbreviation or Acronym

VTPPWEIE-BL 2022

Country/Economy

Name	Country code
Nigeria	NGA

Study type

1-2-3 Survey, phase 1 [hh/123-1]

Abstract

The Africa Gender Innovation Lab (GIL) is partnering with Pro-International Health (PHI) to evaluate a vocational training program. This program is part of an overarching strategy implemented by Pro-Health International (PHI)— Integrated Child Health and Social Services Award (ICHSSA)— to mitigate the impact of HIV/AIDS. The targeted beneficiaries of the vocational training program are rural women residing in the states of Bauchi and Adamawa in Nigeria who are caregivers of children living with HIV (CLHIV), women with children and living with HIV (PLHIV), and caregivers of children that have been exposed to sexual violence and other abuse, as well as caregivers of HIV-exposed infants. The vocational training program seeks to impart technical skills in non-farm trades, such as tailoring, and dry and wet grinding as well as life skills such as problem-solving, collaboration and negotiation. The program also includes the provision of an asset transfer to women who complete at least 70% of the training. Alongside, PHI will also implement a buddy program - where trainees are paired together at the beginning of the program - which is designed to address women’s social network constraints. Two versions of the buddy program will be tested: self-selection of peers and a random matching process

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Households, Individuals

Version

Version Description

This version does not contain social networks variables (SN01 and SN02)

Scope

Notes

The survey covers the following topics:

Demographics characteristics
Self efficacy
Employment and money
Intrahousehold
Social networks (not included in the datasets)
Hard skill measurement
Soft skill measurement
Health
Wellbeing

Coverage

Geographic Coverage

The study sample is comprised of women in 15 LGAs of Adamawa and Bauchi States in Northeast Nigeria. The LGAs were selected in both states based on rural location, logistical reasons, and low risk of insurgency. The beneficiaries were from eight (8) LGAs in Adamawa and seven (7) LGAs in Bauchi. The 8 LGAs in Adamawa state are Numan, Demsa, Fufore, Girei, Gombi, Hong, Mayo-belwa, and Song; while the 7 LGAs from Bauchi state are Bogoro, Dass, Tafawa-Balewa, Toro, Ningi, Misau, and Katagum.

Universe

The study sampling frame includes 4,200 eligible women residing in 570 communities across 15 Local Government Areas (LGAs) out of the 21 LGAs in Adamawa and Bauchi. These 4,200 women were caregivers of children living with HIV (CLHIV), women with children and living with HIV HIV(PLHIV), caregivers of HIV-exposed infants and children exposed to sexual violence, gender-based violence, and other abuses.

Producers and sponsors

Primary investigators

Name	Affiliation
Julia Vaillant	World Bank – Africa Gender Innovation Lab
Abhilasha Sahay	World Bank – Gender Group
Nono Ayivi-Guedehoussou	World Bank – Africa Gender Innovation Lab
Olaide Asimiyu Akin-Olagunju	World Bank – Africa Gender Innovation Lab
Maria Emilia Cucagna	World Bank – Africa Gender Innovation Lab

Sampling

Sampling Procedure

Pro-Health International (PHI) supplied the list of eligible beneficiaries from whom baseline data were collected. The baseline data were collected from July to September 2022, while the intervention (vocational training) was conducted from December 2022 to March 2023.

Survey instrument

Questionnaires

The baseline data includes the following survey modules:
1- General information
2- Tracking module
3- Demographic characteristics
4- Self Efficacy
5- Employment and money
6- Intrahousehold characteristics
7- Social Networks
8- Hard Skills Measurement
9- Soft Skills Measurement
10- Health
11- Wellbeing

Data collection

Dates of Data Collection

Start	End
2022-07	2022-09

Mode of data collection

Computer Assisted Personal Interview [capi]

Data processing

Data Editing

Data was anonymized through decoding and local suppression.

Data Access

Citation requirements

Use of the dataset must be acknowledged using a citation which includes:

The identification of the primary investigators
The title of the survey (including country, acronym, and year of implementation)
The survey reference number
The source and date of download

Example:
Julia Vaillant (World Bank – Africa Gender Innovation Lab), Abhilasha Sahay (World Bank – Gender Group), Nono Ayivi-Guedehoussou (World Bank – Africa Gender Innovation Lab), Olaide Asimiyu Akin-Olagunju (World Bank – Africa Gender Innovation Lab), Maria Emilia Cucagna (World Bank – Africa Gender Innovation Lab). Nigeria - Vocational Training Plus Program and Women’s Empowerment: Impact Evaluation 2022 — Baseline wo NS (VTPPWEIE-BL 2022). Ref: NGA_2022_VTPPWEIE-BL_v01_M. Downloaded from [uri] on [date].

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collectors of the data, the authorised distributor of the data, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Metadata production

DDI Document ID

DDI_NGA_2022_VTPPWEIE-BL_v01_M

Producers

Name	Abbreviation	Affiliation	Role
Development Data Group	DECDG	World Bank Group	Documentation of the survey

Metadata version

DDI Document version

Version 01 (June 2026)

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Vocational Training Plus Program and Women’s Empowerment: Impact Evaluation 2022 Baseline dataset without Social Networks module