Migration in Macuco/RJ (2017–2022)

Macuco/RJ had a reference population (aged 5 or over in 2022) of 5,135 people. In the 2017–2022 five-year period, the municipality received 315 in-migrants and lost 370 out-migrants to other municipalities in Brazil, resulting in a net migration of −55 people (−10.98 per 1,000 population) and a migration effectiveness index (IEM) of −0.082. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Macuco/RJ, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	315	221 to 409	use with caution
Out-migrants	370	203 to 537	use with caution
Net migration	−55	−246 to 136	not classified
Net migration rate, TLM (per 1,000 pop.)	−10.98	-	-
Migration effectiveness index (IEM)	−0.082	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Macuco/RJ
Origin	People	Precision
Cordeiro/RJ · view pair in the atlas	40	low precision
São Sebastião do Alto/RJ · view pair in the atlas	35	low precision
Rio das Ostras/RJ · view pair in the atlas	30	low precision
Rio de Janeiro/RJ · view pair in the atlas	30	low precision
Niterói/RJ · view pair in the atlas	25	low precision
Cantagalo/RJ · view pair in the atlas	20	low precision
Santa Maria Madalena/RJ · view pair in the atlas	15	low precision
Nova Friburgo/RJ · view pair in the atlas	15	low precision
São Gonçalo/RJ · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Macuco/RJ
Destination	People	Precision
Nova Friburgo/RJ · view pair in the atlas	90	low precision
São Sebastião do Alto/RJ · view pair in the atlas	45	low precision
Trajano de Moraes/RJ · view pair in the atlas	40	low precision
Santa Maria Madalena/RJ · 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	150	47.6%	50-99
Multi-step migration	130	41.3%	20-49
Return to municipality of birth	35	11.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	85	42.5%	20-49
Completed higher education	50	25.0%	5-19
No schooling or incomplete elementary	35	17.5%	5-19
Completed elementary, incomplete high school	30	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	75	23.8%	20-49
½ to 1 minimum wage	70	22.2%	20-49
1 to 2 minimum wages	60	19.0%	20-49
Up to ¼ of a minimum wage	55	17.5%	5-19
More than 2 minimum wages	55	17.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	60	19.0%	5-19
Ages 40–59, male	40	12.7%	5-19
Ages 40–59, female	35	11.1%	5-19
Ages 15–24, female	35	11.1%	5-19
Ages 5–14, male	30	9.5%	5-19
Ages 60 and over, female	30	9.5%	5-19
Ages 5–14, female	30	9.5%	5-19
Ages 25–39, male	20	6.3%	5-19
Ages 15–24, male	20	6.3%	5-19
Other / suppressed	15	4.8%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	165	44.6%	5-19
Multi-step migration	160	43.2%	20-49
Return to municipality of birth	45	12.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	135	54.0%	5-19
No schooling or incomplete elementary	95	38.0%	5-19
Other / suppressed	20	8.0%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	39.2%	20-49
Up to ¼ of a minimum wage	75	20.3%	5-19
1 to 2 minimum wages	60	16.2%	5-19
¼ to ½ minimum wage	50	13.5%	5-19
More than 2 minimum wages	40	10.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	75	19.7%	5-19
Other / suppressed	70	18.4%	5-19
Ages 40–59, female	55	14.5%	5-19
Ages 25–39, male	55	14.5%	5-19
Ages 15–24, female	45	11.8%	5-19
Ages 5–14, male	40	10.5%	5-19
Ages 15–24, male	40	10.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,400	41.7%	100-499
No schooling or incomplete elementary	1,175	35.0%	100-499
Completed elementary, incomplete high school	430	12.8%	100-499
Completed higher education	350	10.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,825	35.8%	>=500
¼ to ½ minimum wage	1,190	23.4%	100-499
1 to 2 minimum wages	1,045	20.5%	100-499
More than 2 minimum wages	555	10.9%	100-499
Up to ¼ of a minimum wage	480	9.4%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	775	16.1%	100-499
Ages 40–59, male	685	14.2%	100-499
Ages 60 and over, female	520	10.8%	100-499
Ages 25–39, female	480	10.0%	100-499
Ages 25–39, male	455	9.4%	100-499
Ages 60 and over, male	435	9.0%	100-499
Ages 15–24, male	410	8.5%	100-499
Ages 5–14, male	385	8.0%	100-499
Ages 15–24, female	370	7.7%	100-499
Ages 5–14, female	305	6.3%	100-499

Commuting (work and study)

Commuting indicators for Macuco/RJ
Employed persons (aged 10 and over)	2,400
Commute out to work in another municipality	415
Commute in from another municipality to work here	385
Net commuting	−25
Out-commuting rate (%)	17.23
Commuting attraction index	0.968
Median commuting time	30 min

Open Macuco/RJ 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]: Macuco/RJ. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/macuco-rj-3302452/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.