Migration in Bom Repouso/MG (2017–2022)

Bom Repouso/MG had a reference population (aged 5 or over in 2022) of 11,845 people. In the 2017–2022 five-year period, the municipality received 1,215 in-migrants and lost 265 out-migrants to other municipalities in Brazil, resulting in a net migration of +950 people (80.15 per 1,000 population) and a migration effectiveness index (IEM) of 0.641. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Bom Repouso/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,215	973 to 1,457	good
Out-migrants	265	158 to 372	use with caution
Net migration	+950	685 to 1,215	not classified
Net migration rate, TLM (per 1,000 pop.)	80.15	-	-
Migration effectiveness index (IEM)	0.641	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Bom Repouso/MG
Origin	People	Precision
Praia Norte/TO · view pair in the atlas	90	low precision
Borda da Mata/MG · view pair in the atlas	85	low precision
Pouso Alegre/MG · view pair in the atlas	80	low precision
Cambuí/MG · view pair in the atlas	75	low precision
Amarante do Maranhão/MA · view pair in the atlas	50	low precision
Senador Amaral/MG · view pair in the atlas	50	low precision
São Paulo/SP · view pair in the atlas	30	low precision
Tocos do Moji/MG · view pair in the atlas	25	low precision
Augustinópolis/TO · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Bom Repouso/MG
Destination	People	Precision
Cambuí/MG · view pair in the atlas	70	low precision
Congonhal/MG · view pair in the atlas	30	low precision
Borda da Mata/MG · view pair in the atlas	25	low precision
Senador Amaral/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	680	56.0%	100-499
Multi-step migration	385	31.7%	50-99
Return to municipality of birth	150	12.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	290	40.3%	50-99
Completed high school, incomplete higher education	195	27.1%	20-49
Completed elementary, incomplete high school	165	22.9%	20-49
Completed higher education	70	9.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	395	32.5%	50-99
1 to 2 minimum wages	300	24.7%	50-99
¼ to ½ minimum wage	235	19.3%	20-49
Up to ¼ of a minimum wage	155	12.8%	20-49
More than 2 minimum wages	130	10.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	210	17.4%	20-49
Ages 25–39, male	200	16.5%	20-49
Ages 15–24, male	170	14.0%	20-49
Ages 40–59, female	130	10.7%	20-49
Ages 5–14, female	130	10.7%	20-49
Ages 15–24, female	120	9.9%	20-49
Ages 40–59, male	115	9.5%	20-49
Ages 5–14, male	80	6.6%	5-19
Ages 60 and over, male	30	2.5%	5-19
Ages 60 and over, female	25	2.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	120	45.3%	5-19
Multi-step migration	90	34.0%	20-49
Return to municipality of birth	55	20.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	53.6%	5-19
Completed high school, incomplete higher education	60	42.9%	5-19
Other / suppressed	5	3.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	100	37.7%	5-19
½ to 1 minimum wage	75	28.3%	5-19
Other / suppressed	65	24.5%	5-19
¼ to ½ minimum wage	25	9.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	50	19.2%	5-19
Ages 15–24, female	45	17.3%	5-19
Other / suppressed	40	15.4%	5-19
Ages 40–59, female	35	13.5%	5-19
Ages 25–39, female	30	11.5%	5-19
Ages 40–59, male	30	11.5%	5-19
Ages 25–39, male	30	11.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,550	60.1%	>=500
Completed high school, incomplete higher education	1,310	17.3%	100-499
Completed elementary, incomplete high school	1,145	15.1%	100-499
Completed higher education	560	7.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,770	33.0%	>=500
1 to 2 minimum wages	2,915	25.5%	>=500
Up to ¼ of a minimum wage	2,045	17.9%	100-499
¼ to ½ minimum wage	1,395	12.2%	100-499
More than 2 minimum wages	1,295	11.3%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,600	15.1%	100-499
Ages 40–59, female	1,565	14.7%	100-499
Ages 25–39, male	1,320	12.4%	100-499
Ages 25–39, female	1,180	11.1%	100-499
Ages 60 and over, male	1,010	9.5%	100-499
Ages 60 and over, female	890	8.4%	100-499
Ages 15–24, male	865	8.1%	100-499
Ages 15–24, female	825	7.8%	100-499
Ages 5–14, male	730	6.9%	100-499
Ages 5–14, female	630	5.9%	100-499

Commuting (work and study)

Commuting indicators for Bom Repouso/MG
Employed persons (aged 10 and over)	6,100
Commute out to work in another municipality	160
Commute in from another municipality to work here	190
Net commuting	+30
Out-commuting rate (%)	2.65
Commuting attraction index	1.003
Median commuting time	40 min

Open Bom Repouso/MG 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]: Bom Repouso/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/bom-repouso-mg-3107901/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.