Migration in Caém/BA (2017–2022)

Caém/BA had a reference population (aged 5 or over in 2022) of 9,695 people. In the 2017–2022 five-year period, the municipality received 790 in-migrants and lost 580 out-migrants to other municipalities in Brazil, resulting in a net migration of +210 people (21.45 per 1,000 population) and a migration effectiveness index (IEM) of 0.152. This classifies the municipality, for the period, as one of migratory attraction. In addition, 40 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Caém/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	790	597 to 983	good
Out-migrants	580	383 to 777	use with caution
Net migration	+210	−66 to 486	not classified
Net migration rate, TLM (per 1,000 pop.)	21.45	-	-
Migration effectiveness index (IEM)	0.152	-	-

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 Caém/BA
Origin	People	Precision
Jacobina/BA · view pair in the atlas	110	use with caution
Salvador/BA · view pair in the atlas	95	low precision
São Paulo/SP · view pair in the atlas	80	low precision
Caldeirão Grande/BA · view pair in the atlas	50	low precision
Saúde/BA · view pair in the atlas	40	low precision
Capim Grosso/BA · view pair in the atlas	25	low precision
Taboão da Serra/SP · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Caém/BA
Destination	People	Precision
Jacobina/BA · view pair in the atlas	75	low precision
Caldeirão Grande/BA · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	305	38.6%	50-99
First move from municipality of birth	295	37.3%	50-99
Multi-step migration	190	24.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	43.1%	20-49
Completed high school, incomplete higher education	155	30.4%	20-49
Completed higher education	80	15.7%	5-19
Completed elementary, incomplete high school	55	10.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	260	33.1%	20-49
¼ to ½ minimum wage	205	26.1%	20-49
Up to ¼ of a minimum wage	145	18.5%	20-49
More than 2 minimum wages	100	12.7%	5-19
1 to 2 minimum wages	75	9.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	130	16.6%	20-49
Ages 40–59, female	100	12.7%	5-19
Ages 5–14, female	95	12.1%	5-19
Ages 25–39, male	85	10.8%	5-19
Ages 40–59, male	85	10.8%	5-19
Ages 5–14, male	70	8.9%	5-19
Ages 15–24, female	60	7.6%	5-19
Ages 60 and over, female	60	7.6%	5-19
Ages 60 and over, male	50	6.4%	5-19
Ages 15–24, male	50	6.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	390	66.7%	20-49
Multi-step migration	165	28.2%	20-49
Other / suppressed	30	5.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	51.6%	20-49
Completed high school, incomplete higher education	85	27.4%	5-19
Completed elementary, incomplete high school	55	17.7%	5-19
Other / suppressed	10	3.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	250	43.1%	20-49
¼ to ½ minimum wage	135	23.3%	20-49
1 to 2 minimum wages	110	19.0%	5-19
Up to ¼ of a minimum wage	55	9.5%	5-19
Other / suppressed	30	5.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	110	19.1%	5-19
Ages 25–39, male	95	16.5%	5-19
Ages 15–24, male	85	14.8%	5-19
Ages 25–39, female	70	12.2%	5-19
Ages 40–59, female	70	12.2%	5-19
Ages 5–14, male	50	8.7%	5-19
Ages 40–59, male	45	7.8%	5-19
Other / suppressed	25	4.3%	<5
Ages 5–14, female	25	4.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,775	64.4%	>=500
Completed high school, incomplete higher education	1,340	22.8%	100-499
Completed elementary, incomplete high school	440	7.5%	50-99
Completed higher education	310	5.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	3,100	32.5%	>=500
½ to 1 minimum wage	2,625	27.5%	100-499
Up to ¼ of a minimum wage	2,590	27.1%	>=500
1 to 2 minimum wages	890	9.3%	100-499
More than 2 minimum wages	345	3.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,195	13.5%	100-499
Ages 40–59, male	1,150	13.0%	100-499
Ages 25–39, male	960	10.8%	100-499
Ages 25–39, female	935	10.5%	100-499
Ages 60 and over, female	845	9.5%	100-499
Ages 15–24, male	835	9.4%	100-499
Ages 15–24, female	800	9.0%	100-499
Ages 60 and over, male	785	8.9%	100-499
Ages 5–14, male	725	8.2%	100-499
Ages 5–14, female	640	7.2%	100-499

Commuting (work and study)

Commuting indicators for Caém/BA
Employed persons (aged 10 and over)	3,300
Commute out to work in another municipality	720
Commute in from another municipality to work here	255
Net commuting	−465
Out-commuting rate (%)	21.88
Commuting attraction index	0.826
Median commuting time	30 min

Open Caém/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]: Caém/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/caem-ba-2905107/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.