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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Mundo Novo/BA (2017–2022)

Mundo Novo/BA had a reference population (aged 5 or over in 2022) of 16,315 people. In the 2017–2022 five-year period, the municipality received 950 in-migrants and lost 1,535 out-migrants to other municipalities in Brazil, resulting in a net migration of −585 people (−35.91 per 1,000 population) and a migration effectiveness index (IEM) of −0.236. This classifies the municipality, for the period, as one of migratory depletion. In addition, 35 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Mundo Novo/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants950683 to 1,217good
Out-migrants1,5351,106 to 1,964good
Net migration−585−1,090 to −80not classified
Net migration rate, TLM (per 1,000 pop.)−35.91--
Migration effectiveness index (IEM)−0.236--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Mundo Novo/BA
OriginPeoplePrecision
Salvador/BA · view pair in the atlas160low precision
Piritiba/BA · view pair in the atlas90low precision
São Paulo/SP · view pair in the atlas60low precision
Feira de Santana/BA · view pair in the atlas60low precision
Ruy Barbosa/BA · view pair in the atlas55low precision
Top 10 destinations of out-migrants from Mundo Novo/BA
DestinationPeoplePrecision
Piritiba/BA · view pair in the atlas180low precision
Salvador/BA · view pair in the atlas120low precision
Ruy Barbosa/BA · view pair in the atlas110low precision
Tapiramutá/BA · view pair in the atlas80low precision
Luís Eduardo Magalhães/BA · view pair in the atlas80low precision
Araras/SP · view pair in the atlas45low precision
Utinga/BA · view pair in the atlas40low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth44546.8%50-99
First move from municipality of birth35036.8%20-49
Multi-step migration15516.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary28543.8%20-49
Completed high school, incomplete higher education20030.8%20-49
Completed higher education9514.6%5-19
Completed elementary, incomplete high school7010.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage31533.3%20-49
¼ to ½ minimum wage26027.5%20-49
½ to 1 minimum wage19020.1%20-49
More than 2 minimum wages10511.1%5-19
1 to 2 minimum wages707.4%5-19
Other / suppressed50.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male19520.5%20-49
Ages 25–39, female16517.4%20-49
Ages 5–14, female16016.8%20-49
Ages 40–59, male10511.1%5-19
Ages 40–59, female808.4%5-19
Ages 60 and over, female656.8%5-19
Ages 5–14, male656.8%5-19
Ages 60 and over, male454.7%5-19
Ages 15–24, female454.7%5-19
Other / suppressed252.6%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,17076.2%100-499
Multi-step migration25516.6%20-49
Return to municipality of birth1107.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary40049.4%50-99
Completed high school, incomplete higher education21025.9%20-49
Completed elementary, incomplete high school17021.0%5-19
Other / suppressed303.7%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage69545.3%50-99
¼ to ½ minimum wage41026.7%20-49
1 to 2 minimum wages30019.5%20-49
Up to ¼ of a minimum wage1006.5%5-19
More than 2 minimum wages302.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female31020.1%20-49
Ages 15–24, female27017.5%20-49
Ages 15–24, male24515.9%20-49
Ages 25–39, male23515.3%20-49
Ages 40–59, female1107.1%5-19
Ages 5–14, male1107.1%5-19
Ages 5–14, female1006.5%5-19
Ages 60 and over, female754.9%5-19
Ages 40–59, male503.2%5-19
Ages 60 and over, male352.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary6,78065.1%>=500
Completed high school, incomplete higher education1,89018.1%100-499
Completed elementary, incomplete high school1,05510.1%100-499
Completed higher education6906.6%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage5,30532.5%>=500
½ to 1 minimum wage4,73529.0%100-499
Up to ¼ of a minimum wage4,30526.4%100-499
1 to 2 minimum wages1,4659.0%100-499
More than 2 minimum wages4903.0%20-49
Other / suppressed150.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,18014.2%100-499
Ages 40–59, male2,16014.1%100-499
Ages 60 and over, female1,63010.6%100-499
Ages 25–39, female1,56010.2%100-499
Ages 25–39, male1,4559.5%100-499
Ages 60 and over, male1,4309.3%100-499
Ages 15–24, male1,3108.5%100-499
Ages 15–24, female1,2608.2%100-499
Ages 5–14, male1,2458.1%100-499
Ages 5–14, female1,1057.2%100-499

Commuting (work and study)

Commuting indicators for Mundo Novo/BA
Employed persons (aged 10 and over)5,870
Commute out to work in another municipality155
Commute in from another municipality to work here280
Net commuting+130
Out-commuting rate (%)2.63
Commuting attraction index0.999
Median commuting time75 min

Open Mundo Novo/BA in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Mundo Novo/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mundo-novo-ba-2922102/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.