Migration in Amapá do Maranhão/MA (2017–2022)

Amapá do Maranhão/MA had a reference population (aged 5 or over in 2022) of 6,525 people. In the 2017–2022 five-year period, the municipality received 680 in-migrants and lost 600 out-migrants to other municipalities in Brazil, resulting in a net migration of +80 people (12.33 per 1,000 population) and a migration effectiveness index (IEM) of 0.063. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Amapá do Maranhão/MA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	680	531 to 829	good
Out-migrants	600	387 to 813	use with caution
Net migration	+80	−180 to 340	not classified
Net migration rate, TLM (per 1,000 pop.)	12.33	-	-
Migration effectiveness index (IEM)	0.063	-	-

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 Amapá do Maranhão/MA
Origin	People	Precision
Carutapera/MA · view pair in the atlas	105	use with caution
São Luís/MA · view pair in the atlas	55	low precision
Cândido Mendes/MA · view pair in the atlas	50	low precision
Luís Domingues/MA · view pair in the atlas	35	low precision
Maracaçumé/MA · view pair in the atlas	35	low precision
Governador Nunes Freire/MA · view pair in the atlas	30	low precision
Junco do Maranhão/MA · view pair in the atlas	30	low precision
Boa Vista do Gurupi/MA · view pair in the atlas	25	low precision
Santa Inês/MA · view pair in the atlas	25	low precision
Belém/PA · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Amapá do Maranhão/MA
Destination	People	Precision
Cândido Mendes/MA · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	350	51.1%	100-499
First move from municipality of birth	255	37.2%	50-99
Return to municipality of birth	80	11.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	185	50.7%	50-99
Completed high school, incomplete higher education	100	27.4%	20-49
Completed elementary, incomplete high school	60	16.4%	5-19
Completed higher education	20	5.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	230	33.8%	50-99
¼ to ½ minimum wage	225	33.1%	50-99
½ to 1 minimum wage	190	27.9%	50-99
1 to 2 minimum wages	25	3.7%	5-19
Other / suppressed	10	1.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	115	16.8%	20-49
Ages 25–39, female	100	14.6%	20-49
Ages 5–14, female	95	13.9%	20-49
Ages 5–14, male	95	13.9%	20-49
Ages 15–24, female	70	10.2%	20-49
Ages 15–24, male	55	8.0%	20-49
Ages 40–59, female	50	7.3%	5-19
Ages 40–59, male	45	6.6%	5-19
Ages 60 and over, female	35	5.1%	5-19
Ages 60 and over, male	25	3.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	410	67.8%	20-49
First move from municipality of birth	170	28.1%	5-19
Other / suppressed	25	4.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	150	45.5%	5-19
Completed high school, incomplete higher education	95	28.8%	5-19
Completed elementary, incomplete high school	50	15.2%	5-19
Other / suppressed	35	10.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	180	30.0%	20-49
½ to 1 minimum wage	175	29.2%	5-19
Up to ¼ of a minimum wage	150	25.0%	5-19
1 to 2 minimum wages	80	13.3%	5-19
Other / suppressed	15	2.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	130	21.7%	5-19
Other / suppressed	110	18.3%	5-19
Ages 15–24, female	105	17.5%	5-19
Ages 5–14, male	90	15.0%	5-19
Ages 25–39, female	90	15.0%	5-19
Ages 15–24, male	45	7.5%	5-19
Ages 40–59, male	30	5.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,065	62.1%	>=500
Completed high school, incomplete higher education	620	18.6%	100-499
Completed elementary, incomplete high school	365	11.0%	100-499
Completed higher education	275	8.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	2,670	41.1%	>=500
¼ to ½ minimum wage	2,030	31.3%	>=500
½ to 1 minimum wage	1,365	21.0%	100-499
1 to 2 minimum wages	325	5.0%	100-499
More than 2 minimum wages	100	1.5%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	705	12.1%	100-499
Ages 25–39, male	700	12.0%	100-499
Ages 15–24, male	685	11.7%	100-499
Ages 40–59, male	635	10.9%	100-499
Ages 40–59, female	630	10.8%	100-499
Ages 5–14, male	620	10.6%	100-499
Ages 15–24, female	615	10.5%	100-499
Ages 5–14, female	600	10.3%	100-499
Ages 60 and over, male	360	6.2%	100-499
Ages 60 and over, female	300	5.1%	100-499

Commuting (work and study)

Commuting indicators for Amapá do Maranhão/MA
Employed persons (aged 10 and over)	1,565
Commute out to work in another municipality	90
Commute in from another municipality to work here	40
Net commuting	−50
Out-commuting rate (%)	5.86
Commuting attraction index	0.909
Median commuting time	38 min

Open Amapá do Maranhão/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]: Amapá do Maranhão/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/amapa-do-maranhao-ma-2100550/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.