Migration in Mirador/MA (2017–2022)

Mirador/MA had a reference population (aged 5 or over in 2022) of 19,395 people. In the 2017–2022 five-year period, the municipality received 645 in-migrants and lost 1,095 out-migrants to other municipalities in Brazil, resulting in a net migration of −455 people (−23.39 per 1,000 population) and a migration effectiveness index (IEM) of −0.261. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Mirador/MA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	645	401 to 889	use with caution
Out-migrants	1,095	814 to 1,376	good
Net migration	−455	−827 to −83	not classified
Net migration rate, TLM (per 1,000 pop.)	−23.39	-	-
Migration effectiveness index (IEM)	−0.261	-	-

Sample of in-migrants: 50-99 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 Mirador/MA
Origin	People	Precision
Sucupira do Norte/MA · view pair in the atlas	75	low precision
Imperatriz/MA · view pair in the atlas	55	low precision

Top 10 destinations of out-migrants from Mirador/MA
Destination	People	Precision
Colinas/MA · view pair in the atlas	110	low precision
Pastos Bons/MA · view pair in the atlas	50	low precision
Araporã/MG · view pair in the atlas	45	low precision
Araguaína/TO · view pair in the atlas	45	low precision
Itumbiara/GO · view pair in the atlas	40	low precision
São Domingos do Azeitão/MA · view pair in the atlas	35	low precision
Fernando Falcão/MA · view pair in the atlas	35	low precision
Sucupira do Norte/MA · view pair in the atlas	25	low precision
Pau D'Arco/PA · view pair in the atlas	20	low precision
São Félix de Balsas/MA · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	265	41.1%	20-49
Return to municipality of birth	230	35.7%	20-49
Multi-step migration	150	23.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	54.0%	5-19
Completed higher education	65	20.6%	5-19
Completed high school, incomplete higher education	60	19.0%	5-19
Other / suppressed	20	6.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	295	46.1%	20-49
¼ to ½ minimum wage	140	21.9%	5-19
½ to 1 minimum wage	115	18.0%	5-19
1 to 2 minimum wages	55	8.6%	5-19
Other / suppressed	35	5.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, male	135	21.1%	5-19
Ages 25–39, female	125	19.5%	5-19
Other / suppressed	100	15.6%	5-19
Ages 5–14, female	80	12.5%	5-19
Ages 25–39, male	70	10.9%	5-19
Ages 15–24, female	70	10.9%	5-19
Ages 40–59, male	60	9.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	865	79.0%	100-499
Multi-step migration	165	15.1%	20-49
Return to municipality of birth	65	5.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	230	45.1%	20-49
Completed high school, incomplete higher education	135	26.5%	5-19
Completed elementary, incomplete high school	85	16.7%	5-19
Completed higher education	60	11.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	375	34.2%	50-99
1 to 2 minimum wages	275	25.1%	20-49
½ to 1 minimum wage	195	17.8%	20-49
More than 2 minimum wages	135	12.3%	5-19
Up to ¼ of a minimum wage	115	10.5%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	200	18.3%	20-49
Ages 25–39, female	195	17.8%	20-49
Ages 15–24, female	180	16.4%	20-49
Ages 25–39, male	170	15.5%	20-49
Ages 5–14, female	110	10.0%	5-19
Ages 5–14, male	95	8.7%	20-49
Ages 40–59, male	65	5.9%	5-19
Other / suppressed	50	4.6%	5-19
Ages 60 and over, male	30	2.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	7,095	60.8%	>=500
Completed high school, incomplete higher education	2,130	18.3%	100-499
Completed elementary, incomplete high school	1,500	12.9%	100-499
Completed higher education	935	8.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	8,260	40.5%	>=500
¼ to ½ minimum wage	5,480	26.9%	>=500
½ to 1 minimum wage	4,830	23.7%	100-499
1 to 2 minimum wages	1,545	7.6%	100-499
More than 2 minimum wages	270	1.3%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	2,310	12.3%	100-499
Ages 40–59, male	2,295	12.2%	100-499
Ages 40–59, female	2,215	11.8%	100-499
Ages 25–39, female	2,110	11.3%	100-499
Ages 15–24, male	1,910	10.2%	100-499
Ages 15–24, female	1,745	9.3%	100-499
Ages 5–14, male	1,720	9.2%	100-499
Ages 5–14, female	1,705	9.1%	100-499
Ages 60 and over, female	1,380	7.4%	100-499
Ages 60 and over, male	1,350	7.2%	100-499

Commuting (work and study)

Commuting indicators for Mirador/MA
Employed persons (aged 10 and over)	4,910
Commute out to work in another municipality	345
Commute in from another municipality to work here	220
Net commuting	−125
Out-commuting rate (%)	7.00
Commuting attraction index	0.950
Median commuting time	50 min

Open Mirador/MA 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]: Mirador/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mirador-ma-2106706/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.