Migration in Alpinópolis/MG (2017–2022)

Alpinópolis/MG had a reference population (aged 5 or over in 2022) of 17,290 people. In the 2017–2022 five-year period, the municipality received 1,090 in-migrants and lost 810 out-migrants to other municipalities in Brazil, resulting in a net migration of +280 people (16.05 per 1,000 population) and a migration effectiveness index (IEM) of 0.146. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Alpinópolis/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,090	770 to 1,410	good
Out-migrants	810	555 to 1,065	use with caution
Net migration	+280	−129 to 689	not classified
Net migration rate, TLM (per 1,000 pop.)	16.05	-	-
Migration effectiveness index (IEM)	0.146	-	-

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 Alpinópolis/MG
Origin	People	Precision
Passos/MG · view pair in the atlas	230	low precision
Franca/SP · view pair in the atlas	130	low precision
São José da Barra/MG · view pair in the atlas	95	low precision

Top 10 destinations of out-migrants from Alpinópolis/MG
Destination	People	Precision
Passos/MG · view pair in the atlas	120	low precision
São José da Barra/MG · view pair in the atlas	100	use with caution
Carmo do Rio Claro/MG · view pair in the atlas	90	low precision
Bom Jesus da Penha/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	380	34.9%	20-49
Return to municipality of birth	360	33.0%	20-49
First move from municipality of birth	350	32.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	250	35.7%	20-49
Completed higher education	180	25.7%	5-19
No schooling or incomplete elementary	170	24.3%	5-19
Completed elementary, incomplete high school	100	14.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	360	33.0%	20-49
1 to 2 minimum wages	345	31.7%	20-49
¼ to ½ minimum wage	240	22.0%	20-49
More than 2 minimum wages	130	11.9%	5-19
Other / suppressed	15	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	270	24.7%	20-49
Ages 25–39, male	160	14.6%	5-19
Ages 5–14, male	115	10.5%	5-19
Ages 40–59, female	110	10.0%	5-19
Ages 5–14, female	95	8.7%	5-19
Ages 15–24, male	90	8.2%	5-19
Ages 15–24, female	90	8.2%	5-19
Ages 40–59, male	80	7.3%	5-19
Ages 60 and over, female	50	4.6%	5-19
Other / suppressed	35	3.2%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	465	57.1%	50-99
Multi-step migration	265	32.5%	20-49
Return to municipality of birth	85	10.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	195	37.5%	20-49
Completed higher education	125	24.0%	5-19
No schooling or incomplete elementary	115	22.1%	20-49
Completed elementary, incomplete high school	85	16.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	220	27.2%	20-49
¼ to ½ minimum wage	185	22.8%	20-49
1 to 2 minimum wages	180	22.2%	20-49
More than 2 minimum wages	140	17.3%	20-49
Up to ¼ of a minimum wage	85	10.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	150	18.3%	20-49
Ages 25–39, female	130	15.9%	20-49
Ages 40–59, male	105	12.8%	5-19
Ages 15–24, female	90	11.0%	5-19
Ages 5–14, female	75	9.1%	5-19
Ages 40–59, female	65	7.9%	5-19
Ages 5–14, male	65	7.9%	5-19
Ages 15–24, male	65	7.9%	5-19
Ages 60 and over, female	40	4.9%	5-19
Ages 60 and over, male	35	4.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,675	48.4%	>=500
Completed high school, incomplete higher education	2,680	22.8%	100-499
Completed higher education	1,715	14.6%	100-499
Completed elementary, incomplete high school	1,660	14.2%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	6,150	35.8%	>=500
1 to 2 minimum wages	4,860	28.3%	100-499
¼ to ½ minimum wage	2,855	16.6%	100-499
More than 2 minimum wages	1,765	10.3%	100-499
Up to ¼ of a minimum wage	1,525	8.9%	100-499
Other / suppressed	40	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,500	15.4%	100-499
Ages 40–59, female	2,395	14.8%	100-499
Ages 25–39, male	1,845	11.4%	100-499
Ages 60 and over, female	1,730	10.7%	100-499
Ages 25–39, female	1,655	10.2%	100-499
Ages 60 and over, male	1,600	9.9%	100-499
Ages 15–24, female	1,245	7.7%	100-499
Ages 15–24, male	1,245	7.7%	100-499
Ages 5–14, female	985	6.1%	50-99
Ages 5–14, male	985	6.1%	50-99

Commuting (work and study)

Commuting indicators for Alpinópolis/MG
Employed persons (aged 10 and over)	8,535
Commute out to work in another municipality	350
Commute in from another municipality to work here	260
Net commuting	−85
Out-commuting rate (%)	4.07
Commuting attraction index	0.971
Median commuting time	50 min

Open Alpinópolis/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]: Alpinópolis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alpinopolis-mg-3101904/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.