Migration in Barra do Rocha/BA (2017–2022)

Barra do Rocha/BA had a reference population (aged 5 or over in 2022) of 5,435 people. In the 2017–2022 five-year period, the municipality received 525 in-migrants and lost 570 out-migrants to other municipalities in Brazil, resulting in a net migration of −40 people (−7.66 per 1,000 population) and a migration effectiveness index (IEM) of −0.038. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Barra do Rocha/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	525	381 to 669	good
Out-migrants	570	347 to 793	use with caution
Net migration	−40	−305 to 225	not classified
Net migration rate, TLM (per 1,000 pop.)	−7.66	-	-
Migration effectiveness index (IEM)	−0.038	-	-

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 Barra do Rocha/BA
Origin	People	Precision
Ubatã/BA · view pair in the atlas	65	low precision
São Paulo/SP · view pair in the atlas	60	low precision
Ibirapitanga/BA · view pair in the atlas	50	low precision
Ipiaú/BA · view pair in the atlas	45	low precision
Salvador/BA · view pair in the atlas	35	low precision
Ibirataia/BA · view pair in the atlas	30	low precision
Gongogi/BA · view pair in the atlas	30	low precision
Itagibá/BA · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Barra do Rocha/BA
Destination	People	Precision
Vitória da Conquista/BA · view pair in the atlas	80	low precision
Ipiaú/BA · view pair in the atlas	75	low precision
Itagibá/BA · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	215	41.0%	50-99
First move from municipality of birth	155	29.5%	20-49
Return to municipality of birth	155	29.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	135	42.9%	20-49
Completed high school, incomplete higher education	90	28.6%	20-49
Completed elementary, incomplete high school	60	19.0%	5-19
Completed higher education	30	9.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	155	29.2%	20-49
¼ to ½ minimum wage	150	28.3%	20-49
½ to 1 minimum wage	145	27.4%	20-49
1 to 2 minimum wages	55	10.4%	5-19
More than 2 minimum wages	25	4.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	16.2%	20-49
Ages 40–59, male	70	13.3%	20-49
Ages 40–59, female	65	12.4%	20-49
Ages 15–24, male	65	12.4%	20-49
Ages 15–24, female	65	12.4%	5-19
Ages 25–39, male	50	9.5%	5-19
Ages 5–14, female	45	8.6%	5-19
Ages 5–14, male	40	7.6%	5-19
Ages 60 and over, male	35	6.7%	5-19
Other / suppressed	5	1.0%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	230	40.7%	20-49
Multi-step migration	185	32.7%	20-49
Return to municipality of birth	150	26.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	200	58.0%	20-49
Completed high school, incomplete higher education	100	29.0%	5-19
Other / suppressed	45	13.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	190	33.3%	5-19
Up to ¼ of a minimum wage	165	28.9%	5-19
1 to 2 minimum wages	115	20.2%	5-19
¼ to ½ minimum wage	95	16.7%	5-19
Other / suppressed	5	0.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	105	18.6%	5-19
Ages 15–24, male	75	13.3%	5-19
Ages 40–59, female	75	13.3%	5-19
Ages 15–24, female	70	12.4%	5-19
Ages 25–39, female	65	11.5%	5-19
Ages 60 and over, female	55	9.7%	5-19
Other / suppressed	50	8.8%	5-19
Ages 40–59, male	35	6.2%	5-19
Ages 5–14, female	35	6.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,100	61.0%	>=500
Completed high school, incomplete higher education	775	22.5%	100-499
Completed elementary, incomplete high school	350	10.2%	100-499
Completed higher education	215	6.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,730	33.0%	>=500
¼ to ½ minimum wage	1,605	30.6%	>=500
Up to ¼ of a minimum wage	1,100	21.0%	100-499
1 to 2 minimum wages	645	12.3%	100-499
More than 2 minimum wages	165	3.1%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	755	15.4%	100-499
Ages 40–59, female	650	13.2%	100-499
Ages 25–39, male	540	11.0%	100-499
Ages 25–39, female	530	10.8%	100-499
Ages 60 and over, male	515	10.5%	100-499
Ages 60 and over, female	455	9.3%	100-499
Ages 5–14, male	415	8.5%	100-499
Ages 15–24, male	365	7.4%	100-499
Ages 15–24, female	345	7.0%	100-499
Ages 5–14, female	340	6.9%	100-499

Commuting (work and study)

Commuting indicators for Barra do Rocha/BA
Employed persons (aged 10 and over)	1,820
Commute out to work in another municipality	280
Commute in from another municipality to work here	185
Net commuting	−95
Out-commuting rate (%)	15.35
Commuting attraction index	0.916
Median commuting time	30 min

Open Barra do Rocha/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]: Barra do Rocha/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/barra-do-rocha-ba-2903102/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.