Migration in Pains/MG (2017–2022)

Pains/MG had a reference population (aged 5 or over in 2022) of 7,760 people. In the 2017–2022 five-year period, the municipality received 380 in-migrants and lost 485 out-migrants to other municipalities in Brazil, resulting in a net migration of −100 people (−13.02 per 1,000 population) and a migration effectiveness index (IEM) of −0.117. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Pains/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	380	240 to 520	use with caution
Out-migrants	485	319 to 651	use with caution
Net migration	−100	−317 to 117	not classified
Net migration rate, TLM (per 1,000 pop.)	−13.02	-	-
Migration effectiveness index (IEM)	−0.117	-	-

Sample of in-migrants: 50-99 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 Pains/MG
Origin	People	Precision
Formiga/MG · view pair in the atlas	55	low precision
Belo Horizonte/MG · view pair in the atlas	45	low precision
Pimenta/MG · view pair in the atlas	35	low precision
Divinópolis/MG · view pair in the atlas	30	low precision
Piumhi/MG · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Pains/MG
Destination	People	Precision
Arcos/MG · view pair in the atlas	120	low precision
Pimenta/MG · view pair in the atlas	60	low precision
Formiga/MG · view pair in the atlas	50	low precision
Iguatama/MG · view pair in the atlas	35	low precision
Córrego Fundo/MG · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	210	54.5%	20-49
Multi-step migration	105	27.3%	20-49
Return to municipality of birth	70	18.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	75	32.6%	5-19
No schooling or incomplete elementary	70	30.4%	5-19
Completed higher education	60	26.1%	5-19
Completed elementary, incomplete high school	25	10.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	180	46.8%	20-49
1 to 2 minimum wages	80	20.8%	5-19
¼ to ½ minimum wage	60	15.6%	5-19
More than 2 minimum wages	35	9.1%	5-19
Other / suppressed	30	7.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	65	17.3%	5-19
Ages 25–39, male	55	14.7%	5-19
Ages 15–24, female	50	13.3%	5-19
Ages 40–59, male	45	12.0%	5-19
Ages 15–24, male	40	10.7%	5-19
Ages 40–59, female	40	10.7%	5-19
Ages 5–14, male	40	10.7%	5-19
Other / suppressed	40	10.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	220	45.4%	20-49
Multi-step migration	220	45.4%	20-49
Return to municipality of birth	45	9.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	41.4%	5-19
Completed higher education	90	31.0%	5-19
Completed elementary, incomplete high school	40	13.8%	5-19
Completed high school, incomplete higher education	40	13.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	33.0%	20-49
1 to 2 minimum wages	145	29.9%	20-49
More than 2 minimum wages	85	17.5%	5-19
Up to ¼ of a minimum wage	55	11.3%	5-19
¼ to ½ minimum wage	40	8.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	17.7%	5-19
Ages 15–24, male	65	13.5%	5-19
Ages 40–59, male	60	12.5%	5-19
Ages 25–39, male	60	12.5%	5-19
Ages 15–24, female	55	11.5%	5-19
Ages 5–14, male	40	8.3%	5-19
Ages 60 and over, male	30	6.2%	5-19
Ages 5–14, female	30	6.2%	5-19
Ages 60 and over, female	30	6.2%	5-19
Ages 40–59, female	25	5.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,540	45.1%	>=500
Completed high school, incomplete higher education	1,315	23.4%	100-499
Completed elementary, incomplete high school	1,170	20.8%	100-499
Completed higher education	605	10.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,945	38.0%	>=500
1 to 2 minimum wages	2,765	35.7%	>=500
¼ to ½ minimum wage	900	11.6%	100-499
More than 2 minimum wages	820	10.6%	100-499
Up to ¼ of a minimum wage	295	3.8%	50-99
Not applicable (collective dwelling)	30	0.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,170	15.9%	100-499
Ages 40–59, female	1,130	15.3%	100-499
Ages 60 and over, male	885	12.0%	100-499
Ages 60 and over, female	870	11.8%	100-499
Ages 25–39, male	785	10.7%	100-499
Ages 25–39, female	785	10.7%	100-499
Ages 15–24, male	485	6.6%	50-99
Ages 15–24, female	465	6.3%	50-99
Ages 5–14, female	420	5.7%	50-99
Ages 5–14, male	375	5.1%	50-99

Commuting (work and study)

Commuting indicators for Pains/MG
Employed persons (aged 10 and over)	4,295
Commute out to work in another municipality	145
Commute in from another municipality to work here	545
Net commuting	+400
Out-commuting rate (%)	3.39
Commuting attraction index	1.057
Median commuting time	40 min

Open Pains/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]: Pains/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pains-mg-3146503/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.