Migration in Upanema/RN (2017–2022)

Upanema/RN had a reference population (aged 5 or over in 2022) of 12,785 people. In the 2017–2022 five-year period, the municipality received 835 in-migrants and lost 435 out-migrants to other municipalities in Brazil, resulting in a net migration of +400 people (31.37 per 1,000 population) and a migration effectiveness index (IEM) of 0.315. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Upanema/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	835	633 to 1,037	good
Out-migrants	435	256 to 614	use with caution
Net migration	+400	130 to 670	not classified
Net migration rate, TLM (per 1,000 pop.)	31.37	-	-
Migration effectiveness index (IEM)	0.315	-	-

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 Upanema/RN
Origin	People	Precision
Mossoró/RN · view pair in the atlas	215	use with caution
Campo Grande/RN · view pair in the atlas	85	low precision
Natal/RN · view pair in the atlas	75	low precision
Caraúbas/RN · view pair in the atlas	45	low precision
Janduís/RN · view pair in the atlas	45	low precision
Patu/RN · view pair in the atlas	40	low precision
Parnamirim/RN · view pair in the atlas	35	low precision
Santana do Matos/RN · view pair in the atlas	35	low precision

Top 10 destinations of out-migrants from Upanema/RN
Destination	People	Precision
Mossoró/RN · view pair in the atlas	175	low precision
Parnamirim/RN · view pair in the atlas	90	low precision
Campo Grande/RN · view pair in the atlas	50	low precision
Açu/RN · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	415	49.7%	50-99
Multi-step migration	270	32.3%	50-99
Return to municipality of birth	150	18.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	39.1%	20-49
Completed high school, incomplete higher education	165	30.0%	20-49
Completed elementary, incomplete high school	90	16.4%	5-19
Completed higher education	80	14.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	285	34.1%	50-99
¼ to ½ minimum wage	235	28.1%	50-99
Up to ¼ of a minimum wage	165	19.8%	20-49
1 to 2 minimum wages	85	10.2%	5-19
More than 2 minimum wages	65	7.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	155	18.6%	20-49
Ages 25–39, female	145	17.4%	20-49
Ages 40–59, female	95	11.4%	20-49
Ages 5–14, male	90	10.8%	5-19
Ages 5–14, female	90	10.8%	5-19
Ages 40–59, male	80	9.6%	5-19
Ages 15–24, female	60	7.2%	5-19
Ages 15–24, male	50	6.0%	5-19
Ages 60 and over, female	40	4.8%	5-19
Ages 60 and over, male	30	3.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	150	34.5%	20-49
Multi-step migration	145	33.3%	5-19
Return to municipality of birth	140	32.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	135	51.9%	5-19
Completed higher education	45	17.3%	5-19
Completed elementary, incomplete high school	40	15.4%	5-19
Completed high school, incomplete higher education	40	15.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	145	33.3%	20-49
Up to ¼ of a minimum wage	100	23.0%	5-19
1 to 2 minimum wages	70	16.1%	5-19
½ to 1 minimum wage	70	16.1%	5-19
More than 2 minimum wages	50	11.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	150	34.1%	5-19
Ages 25–39, male	95	21.6%	5-19
Ages 15–24, male	75	17.0%	5-19
Ages 25–39, female	70	15.9%	5-19
Ages 15–24, female	50	11.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,525	55.5%	>=500
Completed high school, incomplete higher education	2,325	28.5%	100-499
Completed elementary, incomplete high school	745	9.1%	100-499
Completed higher education	565	6.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	4,150	32.6%	>=500
¼ to ½ minimum wage	3,700	29.1%	>=500
Up to ¼ of a minimum wage	2,955	23.2%	>=500
1 to 2 minimum wages	1,465	11.5%	100-499
More than 2 minimum wages	455	3.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,750	14.7%	100-499
Ages 40–59, female	1,660	13.9%	100-499
Ages 25–39, male	1,490	12.5%	100-499
Ages 25–39, female	1,410	11.8%	100-499
Ages 15–24, male	1,010	8.5%	100-499
Ages 60 and over, female	935	7.8%	100-499
Ages 15–24, female	925	7.8%	100-499
Ages 5–14, female	920	7.7%	100-499
Ages 60 and over, male	915	7.7%	100-499
Ages 5–14, male	915	7.7%	100-499

Commuting (work and study)

Commuting indicators for Upanema/RN
Employed persons (aged 10 and over)	4,165
Commute out to work in another municipality	745
Commute in from another municipality to work here	215
Net commuting	−525
Out-commuting rate (%)	17.86
Commuting attraction index	0.842
Median commuting time	60 min

Open Upanema/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]: Upanema/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/upanema-rn-2414605/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.