Migration in Campo Grande/RN (2017–2022)

Campo Grande/RN had a reference population (aged 5 or over in 2022) of 9,225 people. In the 2017–2022 five-year period, the municipality received 460 in-migrants and lost 475 out-migrants to other municipalities in Brazil, resulting in a net migration of −15 people (−1.38 per 1,000 population) and a migration effectiveness index (IEM) of −0.014. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Campo Grande/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	460	295 to 625	use with caution
Out-migrants	475	285 to 665	use with caution
Net migration	−15	−266 to 236	not classified
Net migration rate, TLM (per 1,000 pop.)	−1.38	-	-
Migration effectiveness index (IEM)	−0.014	-	-

Sample of in-migrants: 50-99 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 Campo Grande/RN
Origin	People	Precision
Mossoró/RN · view pair in the atlas	105	low precision
Natal/RN · view pair in the atlas	80	low precision
Upanema/RN · view pair in the atlas	50	low precision
Triunfo Potiguar/RN · view pair in the atlas	40	low precision
Caraúbas/RN · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Campo Grande/RN
Destination	People	Precision
Mossoró/RN · view pair in the atlas	95	low precision
Upanema/RN · view pair in the atlas	85	low precision
Jucurutu/RN · view pair in the atlas	30	low precision
Janduís/RN · view pair in the atlas	30	low precision
Triunfo Potiguar/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	195	41.9%	20-49
Return to municipality of birth	170	36.6%	20-49
Multi-step migration	100	21.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	155	49.2%	20-49
Completed high school, incomplete higher education	100	31.7%	5-19
Completed elementary, incomplete high school	45	14.3%	5-19
Other / suppressed	15	4.8%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	180	39.1%	20-49
Up to ¼ of a minimum wage	120	26.1%	20-49
½ to 1 minimum wage	70	15.2%	5-19
1 to 2 minimum wages	55	12.0%	5-19
More than 2 minimum wages	35	7.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	90	19.8%	5-19
Ages 40–59, male	55	12.1%	5-19
Ages 25–39, female	50	11.0%	5-19
Ages 15–24, female	50	11.0%	5-19
Ages 15–24, male	40	8.8%	5-19
Ages 40–59, female	40	8.8%	5-19
Ages 60 and over, female	40	8.8%	5-19
Ages 60 and over, male	35	7.7%	5-19
Ages 5–14, male	35	7.7%	5-19
Other / suppressed	20	4.4%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	265	55.8%	20-49
Multi-step migration	140	29.5%	20-49
Return to municipality of birth	70	14.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	44.6%	20-49
Completed high school, incomplete higher education	85	30.4%	5-19
Completed elementary, incomplete high school	50	17.9%	5-19
Other / suppressed	20	7.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	190	40.0%	20-49
½ to 1 minimum wage	115	24.2%	5-19
Up to ¼ of a minimum wage	90	18.9%	5-19
1 to 2 minimum wages	55	11.6%	5-19
Other / suppressed	25	5.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	17.9%	5-19
Other / suppressed	75	15.8%	5-19
Ages 15–24, male	75	15.8%	5-19
Ages 15–24, female	60	12.6%	5-19
Ages 40–59, female	50	10.5%	5-19
Ages 25–39, male	50	10.5%	5-19
Ages 40–59, male	50	10.5%	5-19
Ages 5–14, female	30	6.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,660	59.8%	>=500
Completed high school, incomplete higher education	1,495	24.4%	100-499
Completed elementary, incomplete high school	525	8.6%	50-99
Completed higher education	445	7.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	3,140	33.9%	>=500
½ to 1 minimum wage	3,050	32.9%	>=500
Up to ¼ of a minimum wage	2,325	25.1%	100-499
1 to 2 minimum wages	585	6.3%	100-499
More than 2 minimum wages	170	1.8%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,250	14.3%	100-499
Ages 40–59, female	1,245	14.2%	100-499
Ages 25–39, female	1,075	12.3%	100-499
Ages 25–39, male	1,050	12.0%	100-499
Ages 15–24, male	805	9.2%	100-499
Ages 60 and over, female	765	8.7%	100-499
Ages 60 and over, male	740	8.4%	100-499
Ages 15–24, female	690	7.9%	100-499
Ages 5–14, male	580	6.6%	100-499
Ages 5–14, female	570	6.5%	100-499

Commuting (work and study)

Commuting indicators for Campo Grande/RN
Employed persons (aged 10 and over)	2,110
Commute out to work in another municipality	245
Commute in from another municipality to work here	105
Net commuting	−135
Out-commuting rate (%)	11.57
Commuting attraction index	0.909
Median commuting time	60 min

Open Campo Grande/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]: Campo Grande/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/campo-grande-rn-2401305/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.