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

Migration in Santaluz/BA (2017–2022)

Santaluz/BA had a reference population (aged 5 or over in 2022) of 35,310 people. In the 2017–2022 five-year period, the municipality received 2,870 in-migrants and lost 940 out-migrants to other municipalities in Brazil, resulting in a net migration of +1,930 people (54.68 per 1,000 population) and a migration effectiveness index (IEM) of 0.506. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santaluz/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants2,8702,379 to 3,361good
Out-migrants940600 to 1,280use with caution
Net migration+1,9301,332 to 2,528not classified
Net migration rate, TLM (per 1,000 pop.)54.68--
Migration effectiveness index (IEM)0.506--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Santaluz/BA
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas470use with caution
Salvador/BA · view pair in the atlas400use with caution
Camaçari/BA · view pair in the atlas170low precision
Valente/BA · view pair in the atlas155low precision
Araci/BA · view pair in the atlas110low precision
Queimadas/BA · view pair in the atlas105low precision
Conceição do Coité/BA · view pair in the atlas105low precision
Feira de Santana/BA · view pair in the atlas75low precision
Nordestina/BA · view pair in the atlas70low precision
Top 10 destinations of out-migrants from Santaluz/BA
DestinationPeoplePrecision
Feira de Santana/BA · view pair in the atlas230low precision
Queimadas/BA · view pair in the atlas90low precision
Valente/BA · view pair in the atlas55low precision
Serrinha/BA · view pair in the atlas55low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth1,23042.8%100-499
First move from municipality of birth93032.3%50-99
Multi-step migration71524.9%50-99
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education63535.3%50-99
No schooling or incomplete elementary56531.4%50-99
Completed higher education33018.3%20-49
Completed elementary, incomplete high school27015.0%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage79027.5%50-99
½ to 1 minimum wage75526.3%50-99
Up to ¼ of a minimum wage71524.9%50-99
1 to 2 minimum wages43015.0%20-49
More than 2 minimum wages1856.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female60521.1%50-99
Ages 25–39, male49517.3%20-49
Ages 5–14, male29510.3%20-49
Ages 40–59, male29010.1%20-49
Ages 40–59, female2709.4%20-49
Ages 5–14, female2709.4%20-49
Ages 15–24, female2508.7%20-49
Ages 15–24, male2508.7%20-49
Ages 60 and over, female853.0%5-19
Ages 60 and over, male551.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth70574.6%50-99
Multi-step migration22023.3%5-19
Other / suppressed202.1%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education31053.4%20-49
Completed higher education10017.2%5-19
Completed elementary, incomplete high school8514.7%5-19
No schooling or incomplete elementary8514.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage33035.1%20-49
¼ to ½ minimum wage28530.3%20-49
More than 2 minimum wages14515.4%5-19
Up to ¼ of a minimum wage859.0%5-19
1 to 2 minimum wages859.0%5-19
Other / suppressed101.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male21022.6%5-19
Ages 25–39, female18019.4%5-19
Ages 15–24, female11011.8%5-19
Ages 40–59, male10010.8%5-19
Ages 5–14, female9510.2%5-19
Other / suppressed859.1%5-19
Ages 15–24, male808.6%5-19
Ages 5–14, male707.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary12,38556.8%>=500
Completed high school, incomplete higher education5,26024.1%>=500
Completed elementary, incomplete high school2,65512.2%100-499
Completed higher education1,5106.9%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage11,49032.9%>=500
½ to 1 minimum wage11,02531.5%>=500
Up to ¼ of a minimum wage8,46024.2%>=500
1 to 2 minimum wages3,1559.0%100-499
More than 2 minimum wages8202.3%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female4,49013.8%100-499
Ages 40–59, male4,39513.5%100-499
Ages 25–39, female3,79011.7%100-499
Ages 25–39, male3,54010.9%100-499
Ages 60 and over, female2,8958.9%100-499
Ages 15–24, male2,8808.9%100-499
Ages 15–24, female2,8008.6%100-499
Ages 60 and over, male2,7058.3%100-499
Ages 5–14, female2,5107.7%100-499
Ages 5–14, male2,4357.5%100-499

Commuting (work and study)

Commuting indicators for Santaluz/BA
Employed persons (aged 10 and over)14,565
Commute out to work in another municipality590
Commute in from another municipality to work here445
Net commuting−145
Out-commuting rate (%)4.04
Commuting attraction index0.938
Median commuting time60 min

Open Santaluz/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]: Santaluz/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santaluz-ba-2928000/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.