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

Migration in Sátiro Dias/BA (2017–2022)

Sátiro Dias/BA had a reference population (aged 5 or over in 2022) of 14,915 people. In the 2017–2022 five-year period, the municipality received 935 in-migrants and lost 955 out-migrants to other municipalities in Brazil, resulting in a net migration of −15 people (−1.16 per 1,000 population) and a migration effectiveness index (IEM) of −0.009. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Sátiro Dias/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants935723 to 1,147good
Out-migrants955642 to 1,268use with caution
Net migration−15−393 to 363not classified
Net migration rate, TLM (per 1,000 pop.)−1.16--
Migration effectiveness index (IEM)−0.009--

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 Sátiro Dias/BA
OriginPeoplePrecision
Salvador/BA · view pair in the atlas205use with caution
São Paulo/SP · view pair in the atlas180use with caution
Inhambupe/BA · view pair in the atlas85low precision
Diadema/SP · view pair in the atlas40low precision
Alagoinhas/BA · view pair in the atlas40low precision
Nova Soure/BA · view pair in the atlas35low precision
Biritinga/BA · view pair in the atlas25low precision
Serrinha/BA · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Sátiro Dias/BA
DestinationPeoplePrecision
Inhambupe/BA · view pair in the atlas145low precision
Salvador/BA · view pair in the atlas135low precision
Alagoinhas/BA · view pair in the atlas95low precision
Serrinha/BA · view pair in the atlas65low precision
Água Fria/BA · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth38040.6%50-99
Return to municipality of birth30532.6%50-99
Multi-step migration25026.7%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary35054.3%50-99
Completed high school, incomplete higher education15023.3%20-49
Completed elementary, incomplete high school10015.5%5-19
Completed higher education457.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage30031.9%50-99
½ to 1 minimum wage25527.1%50-99
Up to ¼ of a minimum wage25527.1%20-49
1 to 2 minimum wages859.0%5-19
More than 2 minimum wages454.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male15016.0%20-49
Ages 25–39, female15016.0%20-49
Ages 40–59, male12012.8%20-49
Ages 40–59, female10010.6%20-49
Ages 60 and over, male859.0%5-19
Ages 5–14, male808.5%5-19
Ages 15–24, female808.5%5-19
Ages 5–14, female707.4%5-19
Ages 15–24, male707.4%5-19
Ages 60 and over, female353.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth64067.4%50-99
Multi-step migration21022.1%20-49
Return to municipality of birth10010.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education22542.5%5-19
No schooling or incomplete elementary16030.2%5-19
Completed elementary, incomplete high school10018.9%5-19
Completed higher education458.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage38540.1%20-49
1 to 2 minimum wages21021.9%5-19
Up to ¼ of a minimum wage18018.8%5-19
¼ to ½ minimum wage11011.5%5-19
More than 2 minimum wages656.8%5-19
Other / suppressed101.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female20521.5%5-19
Ages 25–39, male20521.5%5-19
Ages 15–24, male16517.3%5-19
Ages 15–24, female11512.0%5-19
Ages 5–14, male909.4%5-19
Other / suppressed707.3%5-19
Ages 5–14, female555.8%5-19
Ages 40–59, male505.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary6,20068.0%>=500
Completed high school, incomplete higher education1,50016.4%100-499
Completed elementary, incomplete high school96010.5%100-499
Completed higher education4605.0%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage4,96533.0%>=500
¼ to ½ minimum wage4,46029.6%>=500
½ to 1 minimum wage4,18527.8%>=500
1 to 2 minimum wages1,1157.4%100-499
More than 2 minimum wages3402.3%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,84013.2%100-499
Ages 40–59, female1,83013.1%100-499
Ages 25–39, female1,56011.2%100-499
Ages 25–39, male1,53010.9%100-499
Ages 15–24, female1,3109.4%100-499
Ages 60 and over, female1,2709.1%100-499
Ages 15–24, male1,2559.0%100-499
Ages 5–14, female1,1408.2%100-499
Ages 5–14, male1,1408.2%100-499
Ages 60 and over, male1,1007.9%100-499

Commuting (work and study)

Commuting indicators for Sátiro Dias/BA
Employed persons (aged 10 and over)4,960
Commute out to work in another municipality270
Commute in from another municipality to work here205
Net commuting−65
Out-commuting rate (%)5.45
Commuting attraction index0.982
Median commuting time60 min

Open Sátiro Dias/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]: Sátiro Dias/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/satiro-dias-ba-2929701/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.