Migration in Pocrane/MG (2017–2022)

Pocrane/MG had a reference population (aged 5 or over in 2022) of 7,885 people. In the 2017–2022 five-year period, the municipality received 710 in-migrants and lost 675 out-migrants to other municipalities in Brazil, resulting in a net migration of +40 people (4.86 per 1,000 population) and a migration effectiveness index (IEM) of 0.028. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Pocrane/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	710	547 to 873	good
Out-migrants	675	414 to 936	use with caution
Net migration	+40	−267 to 347	not classified
Net migration rate, TLM (per 1,000 pop.)	4.86	-	-
Migration effectiveness index (IEM)	0.028	-	-

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 Pocrane/MG
Origin	People	Precision
Ipanema/MG · view pair in the atlas	65	low precision
Belo Horizonte/MG · view pair in the atlas	50	low precision
Mutum/MG · view pair in the atlas	45	low precision
São Paulo/SP · view pair in the atlas	45	low precision
Vitória/ES · view pair in the atlas	40	low precision
Manhuaçu/MG · view pair in the atlas	35	low precision
Aimorés/MG · view pair in the atlas	20	low precision
Alvarenga/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Pocrane/MG
Destination	People	Precision
Ipanema/MG · view pair in the atlas	215	low precision
Taparuba/MG · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	315	44.4%	50-99
Multi-step migration	210	29.6%	20-49
Return to municipality of birth	185	26.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	175	37.2%	20-49
No schooling or incomplete elementary	130	27.7%	20-49
Completed higher education	90	19.1%	5-19
Completed elementary, incomplete high school	75	16.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	270	38.0%	50-99
½ to 1 minimum wage	170	23.9%	20-49
Up to ¼ of a minimum wage	130	18.3%	20-49
1 to 2 minimum wages	90	12.7%	5-19
More than 2 minimum wages	50	7.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	125	17.5%	20-49
Ages 40–59, female	90	12.6%	20-49
Ages 40–59, male	85	11.9%	5-19
Ages 25–39, male	85	11.9%	20-49
Ages 5–14, female	80	11.2%	5-19
Ages 15–24, female	75	10.5%	5-19
Ages 5–14, male	60	8.4%	5-19
Ages 60 and over, female	50	7.0%	5-19
Ages 60 and over, male	35	4.9%	5-19
Ages 15–24, male	30	4.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	415	61.5%	20-49
Multi-step migration	205	30.4%	20-49
Return to municipality of birth	55	8.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	175	43.8%	20-49
Completed high school, incomplete higher education	105	26.2%	5-19
Completed elementary, incomplete high school	100	25.0%	5-19
Completed higher education	20	5.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	230	34.1%	20-49
¼ to ½ minimum wage	225	33.3%	20-49
1 to 2 minimum wages	125	18.5%	5-19
Other / suppressed	50	7.4%	5-19
More than 2 minimum wages	45	6.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	100	14.9%	5-19
Ages 40–59, male	85	12.7%	5-19
Ages 25–39, male	75	11.2%	5-19
Ages 15–24, female	75	11.2%	5-19
Ages 25–39, female	70	10.4%	5-19
Ages 5–14, male	70	10.4%	5-19
Ages 60 and over, female	65	9.7%	5-19
Ages 40–59, female	65	9.7%	5-19
Ages 60 and over, male	40	6.0%	5-19
Other / suppressed	25	3.7%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,300	60.1%	>=500
Completed high school, incomplete higher education	1,190	21.7%	100-499
Completed elementary, incomplete high school	705	12.8%	100-499
Completed higher education	295	5.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,335	43.8%	>=500
¼ to ½ minimum wage	2,060	27.1%	100-499
1 to 2 minimum wages	955	12.5%	100-499
Up to ¼ of a minimum wage	920	12.1%	100-499
More than 2 minimum wages	345	4.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,110	15.5%	100-499
Ages 40–59, male	1,070	15.0%	100-499
Ages 60 and over, female	995	13.9%	100-499
Ages 60 and over, male	965	13.5%	100-499
Ages 25–39, male	675	9.4%	100-499
Ages 25–39, female	675	9.4%	100-499
Ages 15–24, male	450	6.3%	50-99
Ages 5–14, male	445	6.2%	50-99
Ages 15–24, female	410	5.7%	50-99
Ages 5–14, female	355	5.0%	50-99

Commuting (work and study)

Commuting indicators for Pocrane/MG
Employed persons (aged 10 and over)	3,060
Commute out to work in another municipality	70
Commute in from another municipality to work here	110
Net commuting	+40
Out-commuting rate (%)	2.27
Commuting attraction index	0.973
Median commuting time	55 min

Open Pocrane/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]: Pocrane/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pocrane-mg-3151909/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.