Migration in Quissamã/RJ (2017–2022)

Quissamã/RJ had a reference population (aged 5 or over in 2022) of 21,000 people. In the 2017–2022 five-year period, the municipality received 1,625 in-migrants and lost 845 out-migrants to other municipalities in Brazil, resulting in a net migration of +775 people (36.94 per 1,000 population) and a migration effectiveness index (IEM) of 0.314. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Quissamã/RJ, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,625	1,224 to 2,026	good
Out-migrants	845	571 to 1,119	use with caution
Net migration	+775	290 to 1,260	not classified
Net migration rate, TLM (per 1,000 pop.)	36.94	-	-
Migration effectiveness index (IEM)	0.314	-	-

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 Quissamã/RJ
Origin	People	Precision
Rio de Janeiro/RJ · view pair in the atlas	395	use with caution
Macaé/RJ · view pair in the atlas	280	low precision
Campos dos Goytacazes/RJ · view pair in the atlas	245	use with caution
Carapebus/RJ · view pair in the atlas	100	low precision
São João de Meriti/RJ · view pair in the atlas	75	low precision
São Gonçalo/RJ · view pair in the atlas	70	low precision

Top 10 destinations of out-migrants from Quissamã/RJ
Destination	People	Precision
Macaé/RJ · view pair in the atlas	270	use with caution
Carapebus/RJ · view pair in the atlas	130	low precision
Rio das Ostras/RJ · view pair in the atlas	85	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	860	52.9%	50-99
Multi-step migration	535	32.9%	50-99
Return to municipality of birth	230	14.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	405	36.2%	20-49
No schooling or incomplete elementary	310	27.7%	20-49
Completed higher education	230	20.5%	20-49
Completed elementary, incomplete high school	175	15.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	635	39.1%	50-99
More than 2 minimum wages	330	20.3%	20-49
1 to 2 minimum wages	315	19.4%	20-49
¼ to ½ minimum wage	230	14.2%	20-49
Up to ¼ of a minimum wage	115	7.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	275	16.9%	20-49
Ages 25–39, female	205	12.6%	20-49
Ages 25–39, male	180	11.0%	5-19
Ages 5–14, male	165	10.1%	5-19
Ages 40–59, male	160	9.8%	5-19
Ages 60 and over, female	150	9.2%	5-19
Ages 60 and over, male	150	9.2%	5-19
Ages 15–24, female	135	8.3%	5-19
Ages 5–14, female	120	7.4%	5-19
Ages 15–24, male	90	5.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	420	49.7%	20-49
First move from municipality of birth	230	27.2%	20-49
Return to municipality of birth	195	23.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	260	42.6%	20-49
Completed high school, incomplete higher education	195	32.0%	20-49
No schooling or incomplete elementary	90	14.8%	5-19
Completed elementary, incomplete high school	65	10.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	345	40.8%	20-49
½ to 1 minimum wage	215	25.4%	20-49
Up to ¼ of a minimum wage	120	14.2%	5-19
1 to 2 minimum wages	100	11.8%	5-19
¼ to ½ minimum wage	45	5.3%	5-19
Other / suppressed	20	2.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	165	19.4%	5-19
Ages 25–39, male	140	16.5%	5-19
Ages 40–59, female	125	14.7%	5-19
Ages 15–24, female	85	10.0%	5-19
Ages 40–59, male	85	10.0%	5-19
Ages 60 and over, female	60	7.1%	5-19
Ages 5–14, male	55	6.5%	5-19
Ages 15–24, male	55	6.5%	5-19
Ages 5–14, female	40	4.7%	5-19
Ages 60 and over, male	40	4.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,535	41.0%	>=500
Completed high school, incomplete higher education	4,455	33.0%	100-499
Completed elementary, incomplete high school	2,010	14.9%	100-499
Completed higher education	1,515	11.2%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	6,510	31.3%	>=500
¼ to ½ minimum wage	4,655	22.4%	100-499
Up to ¼ of a minimum wage	4,160	20.0%	100-499
1 to 2 minimum wages	3,750	18.1%	100-499
More than 2 minimum wages	1,695	8.2%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	2,870	14.8%	100-499
Ages 40–59, male	2,685	13.9%	100-499
Ages 25–39, female	2,325	12.0%	100-499
Ages 25–39, male	2,040	10.5%	100-499
Ages 60 and over, female	1,910	9.9%	100-499
Ages 60 and over, male	1,690	8.7%	100-499
Ages 5–14, male	1,510	7.8%	100-499
Ages 15–24, male	1,470	7.6%	100-499
Ages 5–14, female	1,440	7.4%	100-499
Ages 15–24, female	1,435	7.4%	100-499

Commuting (work and study)

Commuting indicators for Quissamã/RJ
Employed persons (aged 10 and over)	8,555
Commute out to work in another municipality	1,340
Commute in from another municipality to work here	645
Net commuting	−695
Out-commuting rate (%)	15.64
Commuting attraction index	0.896
Median commuting time	80 min

Open Quissamã/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]: Quissamã/RJ. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/quissama-rj-3304151/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.