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

Migration in Queimadas/BA (2017–2022)

Queimadas/BA had a reference population (aged 5 or over in 2022) of 24,335 people. In the 2017–2022 five-year period, the municipality received 1,850 in-migrants and lost 1,510 out-migrants to other municipalities in Brazil, resulting in a net migration of +335 people (13.84 per 1,000 population) and a migration effectiveness index (IEM) of 0.100. This classifies the municipality, for the period, as one of migratory attraction. In addition, 35 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Queimadas/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,8501,385 to 2,315good
Out-migrants1,5101,132 to 1,888good
Net migration+335−264 to 934not classified
Net migration rate, TLM (per 1,000 pop.)13.84--
Migration effectiveness index (IEM)0.100--

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 Queimadas/BA
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas510low precision
Salvador/BA · view pair in the atlas235low precision
Itiúba/BA · view pair in the atlas125low precision
Santaluz/BA · view pair in the atlas90low precision
Top 10 destinations of out-migrants from Queimadas/BA
DestinationPeoplePrecision
São Paulo/SP · view pair in the atlas210low precision
Santaluz/BA · view pair in the atlas105low precision
Itiúba/BA · view pair in the atlas70low precision
Ponto Novo/BA · view pair in the atlas60low precision
Patos de Minas/MG · view pair in the atlas60low precision
Taboão da Serra/SP · view pair in the atlas45low precision
São Domingos/BA · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth74540.4%50-99
Return to municipality of birth71538.8%50-99
Multi-step migration38520.9%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary48043.6%50-99
Completed high school, incomplete higher education33530.5%20-49
Completed elementary, incomplete high school18516.8%5-19
Completed higher education1009.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage69537.6%50-99
Up to ¼ of a minimum wage56530.5%50-99
½ to 1 minimum wage35519.2%20-49
1 to 2 minimum wages1608.6%5-19
More than 2 minimum wages754.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 5–14, male30016.3%20-49
Ages 25–39, female26014.1%20-49
Ages 25–39, male26014.1%20-49
Ages 40–59, male26014.1%20-49
Ages 15–24, female24013.0%5-19
Ages 40–59, female20010.8%5-19
Ages 15–24, male1206.5%5-19
Ages 5–14, female854.6%5-19
Ages 60 and over, female653.5%5-19
Ages 60 and over, male553.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,05069.5%100-499
Multi-step migration31520.9%20-49
Return to municipality of birth1459.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary37046.0%20-49
Completed high school, incomplete higher education24530.4%20-49
Completed elementary, incomplete high school12515.5%5-19
Completed higher education658.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages45530.2%20-49
½ to 1 minimum wage38525.6%20-49
¼ to ½ minimum wage32021.3%20-49
Up to ¼ of a minimum wage25016.6%20-49
More than 2 minimum wages855.6%5-19
Other / suppressed100.7%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female36023.8%20-49
Ages 25–39, female23515.6%20-49
Ages 25–39, male22014.6%20-49
Ages 5–14, female1409.3%5-19
Ages 15–24, male1358.9%5-19
Ages 40–59, male1258.3%5-19
Ages 40–59, female956.3%5-19
Ages 60 and over, male805.3%5-19
Ages 5–14, male704.6%5-19
Ages 60 and over, female503.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9,21059.7%>=500
Completed high school, incomplete higher education3,91525.4%100-499
Completed elementary, incomplete high school1,56510.1%100-499
Completed higher education7504.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage8,16033.9%>=500
¼ to ½ minimum wage7,54531.3%>=500
½ to 1 minimum wage6,38026.5%>=500
1 to 2 minimum wages1,4906.2%100-499
More than 2 minimum wages5302.2%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female3,21514.3%100-499
Ages 40–59, male3,06013.6%100-499
Ages 25–39, female2,49011.1%100-499
Ages 25–39, male2,32010.3%100-499
Ages 60 and over, female2,2259.9%100-499
Ages 60 and over, male2,1109.4%100-499
Ages 15–24, male1,9608.7%100-499
Ages 5–14, female1,7807.9%100-499
Ages 15–24, female1,7557.8%100-499
Ages 5–14, male1,5106.7%100-499
Other / suppressed250.1%5-19

Commuting (work and study)

Commuting indicators for Queimadas/BA
Employed persons (aged 10 and over)6,605
Commute out to work in another municipality440
Commute in from another municipality to work here215
Net commuting−225
Out-commuting rate (%)6.67
Commuting attraction index0.941
Median commuting time50 min

Open Queimadas/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]: Queimadas/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/queimadas-ba-2925808/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.