Migration in Senador Amaral/MG (2017–2022)

Senador Amaral/MG had a reference population (aged 5 or over in 2022) of 5,745 people. In the 2017–2022 five-year period, the municipality received 435 in-migrants and lost 325 out-migrants to other municipalities in Brazil, resulting in a net migration of +110 people (18.86 per 1,000 population) and a migration effectiveness index (IEM) of 0.143. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 20 came from abroad.

Indicators

Migration indicators for Senador Amaral/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	435	333 to 537	good
Out-migrants	325	210 to 440	use with caution
Net migration	+110	−43 to 263	not classified
Net migration rate, TLM (per 1,000 pop.)	18.86	-	-
Migration effectiveness index (IEM)	0.143	-	-

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 Senador Amaral/MG
Origin	People	Precision
São Paulo/SP · view pair in the atlas	30	low precision
Itaguatins/TO · view pair in the atlas	20	low precision
Axixá do Tocantins/TO · view pair in the atlas	20	low precision
Imperatriz/MA · view pair in the atlas	20	low precision
Guarulhos/SP · view pair in the atlas	15	low precision
Bom Repouso/MG · view pair in the atlas	15	low precision
Cambuí/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Senador Amaral/MG
Destination	People	Precision
Cambuí/MG · view pair in the atlas	55	low precision
Bom Repouso/MG · view pair in the atlas	50	low precision
Munhoz/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	235	54.0%	50-99
Multi-step migration	195	44.8%	50-99
Other / suppressed	5	1.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	39.2%	20-49
Completed high school, incomplete higher education	75	29.4%	20-49
Completed elementary, incomplete high school	55	21.6%	5-19
Completed higher education	25	9.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	230	52.9%	50-99
¼ to ½ minimum wage	80	18.4%	20-49
1 to 2 minimum wages	75	17.2%	20-49
More than 2 minimum wages	40	9.2%	5-19
Other / suppressed	10	2.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	80	18.6%	20-49
Ages 15–24, female	75	17.4%	20-49
Ages 25–39, male	60	14.0%	5-19
Ages 15–24, male	55	12.8%	20-49
Ages 40–59, male	40	9.3%	5-19
Ages 40–59, female	40	9.3%	5-19
Ages 5–14, male	25	5.8%	5-19
Ages 5–14, female	25	5.8%	5-19
Ages 60 and over, male	20	4.7%	5-19
Other / suppressed	10	2.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	145	44.6%	20-49
First move from municipality of birth	95	29.2%	5-19
Return to municipality of birth	85	26.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	39.4%	5-19
Completed high school, incomplete higher education	55	33.3%	5-19
Completed elementary, incomplete high school	25	15.2%	5-19
Other / suppressed	20	12.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	115	35.4%	20-49
1 to 2 minimum wages	105	32.3%	5-19
½ to 1 minimum wage	75	23.1%	5-19
Other / suppressed	30	9.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	80	24.6%	5-19
Ages 25–39, male	70	21.5%	5-19
Other / suppressed	55	16.9%	5-19
Ages 25–39, female	40	12.3%	5-19
Ages 5–14, female	35	10.8%	5-19
Ages 40–59, male	25	7.7%	5-19
Ages 5–14, male	20	6.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,030	57.0%	>=500
Completed high school, incomplete higher education	725	20.4%	100-499
Completed elementary, incomplete high school	610	17.1%	100-499
Completed higher education	195	5.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,525	43.9%	>=500
1 to 2 minimum wages	1,660	28.8%	>=500
¼ to ½ minimum wage	1,005	17.5%	100-499
More than 2 minimum wages	360	6.3%	100-499
Up to ¼ of a minimum wage	205	3.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	765	14.4%	100-499
Ages 40–59, female	745	14.1%	100-499
Ages 25–39, male	725	13.7%	100-499
Ages 25–39, female	595	11.2%	100-499
Ages 15–24, male	485	9.2%	100-499
Ages 5–14, male	420	7.9%	100-499
Ages 15–24, female	415	7.8%	100-499
Ages 5–14, female	410	7.7%	100-499
Ages 60 and over, male	370	7.0%	100-499
Ages 60 and over, female	370	7.0%	100-499

Commuting (work and study)

Commuting indicators for Senador Amaral/MG
Employed persons (aged 10 and over)	3,435
Commute out to work in another municipality	35
Commute in from another municipality to work here	330
Net commuting	+295
Out-commuting rate (%)	1.07
Commuting attraction index	1.084
Median commuting time	30 min

Open Senador Amaral/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 Amaral/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/senador-amaral-mg-3165578/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.