Migration in São José do Campestre/RN (2017–2022)

São José do Campestre/RN had a reference population (aged 5 or over in 2022) of 10,490 people. In the 2017–2022 five-year period, the municipality received 490 in-migrants and lost 835 out-migrants to other municipalities in Brazil, resulting in a net migration of −345 people (−32.67 per 1,000 population) and a migration effectiveness index (IEM) of −0.259. This classifies the municipality, for the period, as one of migratory depletion. In addition, 35 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São José do Campestre/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	490	346 to 634	use with caution
Out-migrants	835	487 to 1,183	use with caution
Net migration	−345	−722 to 32	not classified
Net migration rate, TLM (per 1,000 pop.)	−32.67	-	-
Migration effectiveness index (IEM)	−0.259	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São José do Campestre/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	140	use with caution
Santo Antônio/RN · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from São José do Campestre/RN
Destination	People	Precision
Parnamirim/RN · view pair in the atlas	260	low precision
Lagoa d'Anta/RN · view pair in the atlas	45	low precision
Tangará/RN · view pair in the atlas	30	low precision
Serra de São Bento/RN · view pair in the atlas	20	low precision
Serrinha/RN · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	200	40.8%	20-49
First move from municipality of birth	185	37.8%	20-49
Multi-step migration	105	21.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	165	51.6%	20-49
Completed high school, incomplete higher education	100	31.2%	5-19
Completed elementary, incomplete high school	45	14.1%	5-19
Other / suppressed	10	3.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	175	35.4%	20-49
¼ to ½ minimum wage	150	30.3%	20-49
½ to 1 minimum wage	120	24.2%	20-49
1 to 2 minimum wages	45	9.1%	5-19
Other / suppressed	5	1.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	115	23.5%	20-49
Ages 25–39, female	65	13.3%	5-19
Ages 5–14, male	55	11.2%	5-19
Ages 40–59, male	50	10.2%	5-19
Ages 15–24, male	45	9.2%	5-19
Ages 40–59, female	45	9.2%	5-19
Ages 5–14, female	40	8.2%	5-19
Ages 15–24, female	30	6.1%	5-19
Ages 60 and over, female	25	5.1%	5-19
Ages 60 and over, male	20	4.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	380	45.5%	20-49
First move from municipality of birth	380	45.5%	50-99
Return to municipality of birth	75	9.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	175	36.8%	20-49
Completed high school, incomplete higher education	170	35.8%	20-49
Completed elementary, incomplete high school	105	22.1%	5-19
Other / suppressed	25	5.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	295	35.3%	20-49
½ to 1 minimum wage	220	26.3%	20-49
1 to 2 minimum wages	175	21.0%	20-49
Up to ¼ of a minimum wage	85	10.2%	5-19
Other / suppressed	60	7.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	145	17.6%	5-19
Ages 40–59, female	130	15.8%	5-19
Ages 25–39, female	120	14.5%	5-19
Ages 15–24, male	105	12.7%	5-19
Ages 40–59, male	95	11.5%	5-19
Ages 25–39, male	95	11.5%	5-19
Ages 5–14, female	50	6.1%	5-19
Ages 5–14, male	50	6.1%	5-19
Ages 60 and over, male	30	3.6%	5-19
Other / suppressed	5	0.6%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,845	56.4%	>=500
Completed high school, incomplete higher education	1,730	25.4%	100-499
Completed elementary, incomplete high school	810	11.9%	100-499
Completed higher education	430	6.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,455	32.6%	>=500
¼ to ½ minimum wage	3,065	28.9%	>=500
Up to ¼ of a minimum wage	2,530	23.9%	100-499
1 to 2 minimum wages	1,230	11.6%	100-499
More than 2 minimum wages	315	3.0%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,325	13.3%	100-499
Ages 40–59, male	1,290	12.9%	100-499
Ages 25–39, female	1,235	12.4%	100-499
Ages 25–39, male	1,175	11.8%	100-499
Ages 60 and over, female	995	10.0%	100-499
Ages 15–24, male	850	8.5%	100-499
Ages 15–24, female	850	8.5%	100-499
Ages 60 and over, male	800	8.0%	100-499
Ages 5–14, male	750	7.5%	100-499
Ages 5–14, female	695	7.0%	100-499

Commuting (work and study)

Commuting indicators for São José do Campestre/RN
Employed persons (aged 10 and over)	3,525
Commute out to work in another municipality	525
Commute in from another municipality to work here	130
Net commuting	−395
Out-commuting rate (%)	14.91
Commuting attraction index	0.860
Median commuting time	120 min

Open São José do Campestre/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]: São José do Campestre/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-jose-do-campestre-rn-2412302/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.