Migration in Cerro Corá/RN (2017–2022)

Cerro Corá/RN had a reference population (aged 5 or over in 2022) of 10,330 people. In the 2017–2022 five-year period, the municipality received 530 in-migrants and lost 555 out-migrants to other municipalities in Brazil, resulting in a net migration of −25 people (−2.50 per 1,000 population) and a migration effectiveness index (IEM) of −0.024. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Cerro Corá/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	530	378 to 682	good
Out-migrants	555	375 to 735	use with caution
Net migration	−25	−260 to 210	not classified
Net migration rate, TLM (per 1,000 pop.)	−2.50	-	-
Migration effectiveness index (IEM)	−0.024	-	-

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 Cerro Corá/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	225	use with caution
Currais Novos/RN · view pair in the atlas	50	low precision
São Tomé/RN · view pair in the atlas	35	low precision
Mossoró/RN · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Cerro Corá/RN
Destination	People	Precision
Natal/RN · view pair in the atlas	85	low precision
Lagoa Nova/RN · view pair in the atlas	70	low precision
Currais Novos/RN · view pair in the atlas	55	low precision
São Gonçalo do Amarante/RN · view pair in the atlas	45	low precision
Bodó/RN · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	220	41.9%	20-49
Return to municipality of birth	155	29.5%	20-49
Multi-step migration	150	28.6%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	145	42.6%	20-49
No schooling or incomplete elementary	85	25.0%	5-19
Completed higher education	60	17.6%	5-19
Completed elementary, incomplete high school	50	14.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	150	28.6%	20-49
Up to ¼ of a minimum wage	130	24.8%	20-49
1 to 2 minimum wages	110	21.0%	20-49
½ to 1 minimum wage	100	19.0%	20-49
More than 2 minimum wages	35	6.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	115	21.5%	20-49
Ages 25–39, female	75	14.0%	5-19
Ages 40–59, female	70	13.1%	5-19
Ages 5–14, female	60	11.2%	5-19
Ages 15–24, female	60	11.2%	5-19
Ages 40–59, male	40	7.5%	5-19
Ages 15–24, male	35	6.5%	5-19
Ages 60 and over, male	35	6.5%	5-19
Ages 5–14, male	35	6.5%	5-19
Other / suppressed	10	1.9%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	255	45.9%	20-49
Multi-step migration	215	38.7%	20-49
Return to municipality of birth	85	15.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	48.5%	20-49
Completed high school, incomplete higher education	85	25.8%	5-19
Completed elementary, incomplete high school	45	13.6%	5-19
Completed higher education	40	12.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	230	41.4%	20-49
¼ to ½ minimum wage	140	25.2%	20-49
1 to 2 minimum wages	90	16.2%	5-19
More than 2 minimum wages	75	13.5%	5-19
Other / suppressed	20	3.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	105	19.3%	5-19
Ages 15–24, female	85	15.6%	5-19
Ages 15–24, male	75	13.8%	5-19
Ages 60 and over, female	70	12.8%	5-19
Ages 40–59, female	55	10.1%	5-19
Ages 25–39, male	55	10.1%	5-19
Other / suppressed	45	8.3%	5-19
Ages 5–14, female	30	5.5%	5-19
Ages 40–59, male	25	4.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,115	60.7%	>=500
Completed high school, incomplete higher education	1,530	22.6%	100-499
Completed elementary, incomplete high school	770	11.4%	100-499
Completed higher education	360	5.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,435	32.8%	>=500
¼ to ½ minimum wage	3,015	28.8%	>=500
Up to ¼ of a minimum wage	2,630	25.1%	>=500
1 to 2 minimum wages	1,115	10.7%	100-499
More than 2 minimum wages	270	2.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,335	13.6%	100-499
Ages 40–59, male	1,275	13.0%	100-499
Ages 25–39, female	1,200	12.3%	100-499
Ages 25–39, male	1,115	11.4%	100-499
Ages 60 and over, female	990	10.1%	100-499
Ages 60 and over, male	860	8.8%	100-499
Ages 15–24, male	800	8.2%	100-499
Ages 15–24, female	785	8.0%	100-499
Ages 5–14, male	740	7.6%	100-499
Ages 5–14, female	695	7.1%	100-499

Commuting (work and study)

Commuting indicators for Cerro Corá/RN
Employed persons (aged 10 and over)	3,240
Commute out to work in another municipality	465
Commute in from another municipality to work here	145
Net commuting	−320
Out-commuting rate (%)	14.32
Commuting attraction index	0.888
Median commuting time	40 min

Open Cerro Corá/RN 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]: Cerro Corá/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cerro-cora-rn-2402709/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.