Migration in Santa Maria/RN (2017–2022)

Santa Maria/RN had a reference population (aged 5 or over in 2022) of 4,505 people. In the 2017–2022 five-year period, the municipality received 335 in-migrants and lost 440 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−23.16 per 1,000 population) and a migration effectiveness index (IEM) of −0.135. This classifies the municipality, for the period, as one of migratory depletion. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santa Maria/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	335	241 to 429	good
Out-migrants	440	277 to 603	use with caution
Net migration	−105	−293 to 83	not classified
Net migration rate, TLM (per 1,000 pop.)	−23.16	-	-
Migration effectiveness index (IEM)	−0.135	-	-

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 Santa Maria/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	60	use with caution
Ielmo Marinho/RN · view pair in the atlas	50	low precision
Riachuelo/RN · view pair in the atlas	35	low precision
São Paulo do Potengi/RN · view pair in the atlas	30	low precision
Parnamirim/RN · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Santa Maria/RN
Destination	People	Precision
Macaíba/RN · view pair in the atlas	65	low precision
São Paulo do Potengi/RN · view pair in the atlas	40	low precision
Riachuelo/RN · view pair in the atlas	35	low precision
Parnamirim/RN · view pair in the atlas	30	low precision
Bento Fernandes/RN · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	205	61.2%	50-99
First move from municipality of birth	120	35.8%	20-49
Other / suppressed	10	3.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	44.7%	20-49
Completed high school, incomplete higher education	60	31.6%	20-49
Completed elementary, incomplete high school	25	13.2%	5-19
Completed higher education	20	10.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	125	37.3%	20-49
Up to ¼ of a minimum wage	100	29.9%	20-49
¼ to ½ minimum wage	65	19.4%	20-49
1 to 2 minimum wages	35	10.4%	5-19
Other / suppressed	10	3.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	55	16.9%	20-49
Ages 15–24, female	50	15.4%	5-19
Ages 40–59, male	35	10.8%	5-19
Ages 25–39, male	35	10.8%	5-19
Ages 15–24, male	30	9.2%	5-19
Ages 5–14, female	30	9.2%	5-19
Other / suppressed	25	7.7%	5-19
Ages 60 and over, male	20	6.2%	5-19
Ages 60 and over, female	15	4.6%	5-19
Ages 40–59, female	15	4.6%	5-19
Ages 5–14, male	15	4.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	275	62.5%	20-49
Return to municipality of birth	100	22.7%	5-19
First move from municipality of birth	65	14.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	51.0%	20-49
Completed high school, incomplete higher education	90	35.3%	5-19
Other / suppressed	35	13.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	190	43.2%	20-49
¼ to ½ minimum wage	105	23.9%	20-49
More than 2 minimum wages	55	12.5%	5-19
1 to 2 minimum wages	55	12.5%	5-19
Up to ¼ of a minimum wage	30	6.8%	5-19
Other / suppressed	5	1.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	85	19.3%	5-19
Ages 60 and over, male	65	14.8%	5-19
Ages 15–24, female	50	11.4%	5-19
Ages 15–24, male	45	10.2%	5-19
Ages 5–14, female	45	10.2%	5-19
Ages 5–14, male	45	10.2%	5-19
Ages 25–39, female	40	9.1%	5-19
Other / suppressed	30	6.8%	5-19
Ages 40–59, male	20	4.5%	5-19
Ages 40–59, female	15	3.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,690	60.9%	>=500
Completed high school, incomplete higher education	565	20.4%	100-499
Completed elementary, incomplete high school	305	11.0%	100-499
Completed higher education	215	7.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,575	35.1%	100-499
¼ to ½ minimum wage	1,210	26.9%	100-499
Up to ¼ of a minimum wage	1,170	26.1%	100-499
1 to 2 minimum wages	415	9.2%	100-499
More than 2 minimum wages	120	2.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	565	13.6%	100-499
Ages 40–59, male	555	13.4%	100-499
Ages 25–39, female	510	12.3%	100-499
Ages 25–39, male	485	11.7%	100-499
Ages 15–24, male	415	10.0%	100-499
Ages 60 and over, female	340	8.2%	100-499
Ages 5–14, male	340	8.2%	100-499
Ages 15–24, female	335	8.1%	100-499
Ages 60 and over, male	320	7.7%	50-99
Ages 5–14, female	290	7.0%	100-499

Commuting (work and study)

Commuting indicators for Santa Maria/RN
Employed persons (aged 10 and over)	1,420
Commute out to work in another municipality	245
Commute in from another municipality to work here	145
Net commuting	−100
Out-commuting rate (%)	17.22
Commuting attraction index	0.878
Median commuting time	60 min

Open Santa Maria/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]: Santa Maria/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-maria-rn-2409332/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.