Migration in Senador José Bento/MG (2017–2022)

Senador José Bento/MG had a reference population (aged 5 or over in 2022) of 1,985 people. In the 2017–2022 five-year period, the municipality received 345 in-migrants and lost 120 out-migrants to other municipalities in Brazil, resulting in a net migration of +225 people (113.29 per 1,000 population) and a migration effectiveness index (IEM) of 0.481. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Senador José Bento/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	345	266 to 424	good
Out-migrants	120	49 to 191	use with caution
Net migration	+225	119 to 331	not classified
Net migration rate, TLM (per 1,000 pop.)	113.29	-	-
Migration effectiveness index (IEM)	0.481	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 5-19 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Senador José Bento/MG
Origin	People	Precision
Pouso Alegre/MG · view pair in the atlas	90	use with caution
Congonhal/MG · view pair in the atlas	65	low precision
Ipuiúna/MG · view pair in the atlas	55	low precision
São Paulo/SP · view pair in the atlas	35	low precision
Sumaré/SP · view pair in the atlas	20	low precision
Borda da Mata/MG · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Senador José Bento/MG
Destination	People	Precision
Congonhal/MG · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	195	56.5%	50-99
First move from municipality of birth	135	39.1%	50-99
Return to municipality of birth	15	4.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	40.8%	20-49
Completed high school, incomplete higher education	70	28.6%	20-49
Completed elementary, incomplete high school	55	22.4%	20-49
Completed higher education	20	8.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	150	43.5%	50-99
¼ to ½ minimum wage	80	23.2%	20-49
1 to 2 minimum wages	75	21.7%	20-49
Up to ¼ of a minimum wage	20	5.8%	5-19
More than 2 minimum wages	20	5.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	60	17.4%	20-49
Ages 25–39, male	50	14.5%	20-49
Ages 40–59, male	40	11.6%	20-49
Ages 25–39, female	40	11.6%	5-19
Ages 60 and over, male	35	10.1%	5-19
Ages 5–14, female	30	8.7%	5-19
Ages 5–14, male	25	7.2%	5-19
Ages 15–24, female	25	7.2%	5-19
Ages 60 and over, female	20	5.8%	5-19
Ages 15–24, male	20	5.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	50	40.0%	5-19
First move from municipality of birth	45	36.0%	5-19
Other / suppressed	30	24.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Other / suppressed	55	100.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Other / suppressed	75	62.5%	5-19
1 to 2 minimum wages	45	37.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	120	100.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	760	57.1%	100-499
Completed high school, incomplete higher education	240	18.0%	100-499
Completed elementary, incomplete high school	165	12.4%	50-99
Completed higher education	165	12.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	830	48.3%	100-499
1 to 2 minimum wages	455	26.5%	100-499
¼ to ½ minimum wage	250	14.5%	100-499
More than 2 minimum wages	155	9.0%	50-99
Up to ¼ of a minimum wage	30	1.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, male	290	17.7%	100-499
Ages 40–59, male	280	17.1%	100-499
Ages 40–59, female	260	15.9%	100-499
Ages 60 and over, female	230	14.1%	100-499
Ages 25–39, male	135	8.3%	50-99
Ages 25–39, female	130	8.0%	50-99
Ages 15–24, male	100	6.1%	20-49
Ages 15–24, female	80	4.9%	20-49
Ages 5–14, male	75	4.6%	20-49
Ages 5–14, female	55	3.4%	20-49

Commuting (work and study)

Commuting indicators for Senador José Bento/MG
Employed persons (aged 10 and over)	835
Commute out to work in another municipality	150
Commute in from another municipality to work here	45
Net commuting	−105
Out-commuting rate (%)	17.87
Commuting attraction index	0.867
Median commuting time	32 min

Open Senador José Bento/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]: Senador José Bento/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/senador-jose-bento-mg-3165800/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.