Migration in Alvarães/AM (2017–2022)

Alvarães/AM had a reference population (aged 5 or over in 2022) of 13,920 people. In the 2017–2022 five-year period, the municipality received 725 in-migrants and lost 675 out-migrants to other municipalities in Brazil, resulting in a net migration of +50 people (3.47 per 1,000 population) and a migration effectiveness index (IEM) of 0.034. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Alvarães/AM, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	725	549 to 901	good
Out-migrants	675	422 to 928	use with caution
Net migration	+50	−258 to 358	not classified
Net migration rate, TLM (per 1,000 pop.)	3.47	-	-
Migration effectiveness index (IEM)	0.034	-	-

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 Alvarães/AM
Origin	People	Precision
Tefé/AM · view pair in the atlas	225	use with caution
Manaus/AM · view pair in the atlas	210	use with caution
Maraã/AM · view pair in the atlas	45	low precision
Coari/AM · view pair in the atlas	45	low precision
Uarini/AM · view pair in the atlas	40	low precision
Juruá/AM · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Alvarães/AM
Destination	People	Precision
Tefé/AM · view pair in the atlas	225	use with caution
Manaus/AM · view pair in the atlas	175	low precision
Coari/AM · view pair in the atlas	100	low precision
Uarini/AM · view pair in the atlas	60	low precision
Japurá/AM · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	395	54.5%	50-99
Return to municipality of birth	175	24.1%	20-49
Multi-step migration	155	21.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	41.8%	20-49
Completed high school, incomplete higher education	90	26.9%	20-49
Completed higher education	55	16.4%	5-19
Completed elementary, incomplete high school	50	14.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	320	43.8%	50-99
¼ to ½ minimum wage	215	29.5%	50-99
½ to 1 minimum wage	135	18.5%	20-49
More than 2 minimum wages	35	4.8%	5-19
1 to 2 minimum wages	20	2.7%	5-19
Other / suppressed	5	0.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	125	17.4%	20-49
Ages 25–39, male	110	15.3%	20-49
Ages 15–24, male	110	15.3%	20-49
Ages 25–39, female	95	13.2%	20-49
Ages 5–14, female	85	11.8%	5-19
Ages 5–14, male	70	9.7%	5-19
Ages 40–59, female	55	7.6%	5-19
Ages 40–59, male	45	6.2%	5-19
Ages 60 and over, male	20	2.8%	5-19
Other / suppressed	5	0.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	445	65.9%	50-99
Multi-step migration	120	17.8%	20-49
Return to municipality of birth	110	16.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	135	48.2%	20-49
Completed high school, incomplete higher education	100	35.7%	5-19
Completed higher education	30	10.7%	5-19
Other / suppressed	15	5.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	275	40.4%	20-49
Up to ¼ of a minimum wage	170	25.0%	20-49
½ to 1 minimum wage	170	25.0%	20-49
Other / suppressed	65	9.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	185	27.0%	5-19
Ages 25–39, male	100	14.6%	5-19
Ages 5–14, female	95	13.9%	5-19
Ages 15–24, male	80	11.7%	5-19
Ages 25–39, female	55	8.0%	5-19
Ages 5–14, male	45	6.6%	5-19
Ages 40–59, female	40	5.8%	5-19
Other / suppressed	35	5.1%	<5
Ages 60 and over, male	30	4.4%	5-19
Ages 40–59, male	20	2.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,185	48.4%	>=500
Completed high school, incomplete higher education	1,885	28.6%	100-499
Completed elementary, incomplete high school	1,030	15.6%	100-499
Completed higher education	485	7.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	6,255	41.3%	>=500
¼ to ½ minimum wage	5,170	34.1%	>=500
½ to 1 minimum wage	2,955	19.5%	>=500
1 to 2 minimum wages	625	4.1%	100-499
More than 2 minimum wages	125	0.8%	20-49
Other / suppressed	10	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, male	1,755	13.3%	100-499
Ages 5–14, female	1,670	12.7%	100-499
Ages 25–39, male	1,660	12.6%	100-499
Ages 15–24, male	1,645	12.5%	100-499
Ages 25–39, female	1,545	11.7%	100-499
Ages 15–24, female	1,540	11.7%	100-499
Ages 40–59, male	1,280	9.7%	100-499
Ages 40–59, female	1,070	8.1%	100-499
Ages 60 and over, male	550	4.2%	100-499
Ages 60 and over, female	480	3.6%	50-99

Commuting (work and study)

Commuting indicators for Alvarães/AM
Employed persons (aged 10 and over)	4,610
Commute out to work in another municipality	85
Commute in from another municipality to work here	90
Net commuting	+10
Out-commuting rate (%)	1.81
Commuting attraction index	0.999
Median commuting time	90 min

Open Alvarães/AM 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]: Alvarães/AM. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alvaraes-am-1300029/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.