Migration in Pendências/RN (2017–2022)

Pendências/RN had a reference population (aged 5 or over in 2022) of 11,585 people. In the 2017–2022 five-year period, the municipality received 600 in-migrants and lost 575 out-migrants to other municipalities in Brazil, resulting in a net migration of +25 people (2.16 per 1,000 population) and a migration effectiveness index (IEM) of 0.021. This classifies the municipality, for the period, as one of migratory attraction. In addition, 55 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Pendências/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	600	434 to 766	good
Out-migrants	575	380 to 770	use with caution
Net migration	+25	−232 to 282	not classified
Net migration rate, TLM (per 1,000 pop.)	2.16	-	-
Migration effectiveness index (IEM)	0.021	-	-

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 Pendências/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	150	use with caution
Alto do Rodrigues/RN · view pair in the atlas	60	low precision
Macau/RN · view pair in the atlas	50	low precision
Mossoró/RN · view pair in the atlas	40	low precision
Afonso Bezerra/RN · view pair in the atlas	40	low precision
Ipanguaçu/RN · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Pendências/RN
Destination	People	Precision
Alto do Rodrigues/RN · view pair in the atlas	90	use with caution
Guamaré/RN · view pair in the atlas	65	low precision
Afonso Bezerra/RN · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	255	42.1%	20-49
First move from municipality of birth	240	39.7%	20-49
Return to municipality of birth	110	18.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	190	50.7%	20-49
Completed high school, incomplete higher education	110	29.3%	5-19
Completed elementary, incomplete high school	40	10.7%	5-19
Completed higher education	35	9.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	200	33.3%	20-49
½ to 1 minimum wage	170	28.3%	20-49
1 to 2 minimum wages	120	20.0%	20-49
Up to ¼ of a minimum wage	85	14.2%	5-19
Other / suppressed	25	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	105	17.5%	5-19
Ages 40–59, female	90	15.0%	5-19
Ages 15–24, male	85	14.2%	5-19
Ages 25–39, female	75	12.5%	5-19
Ages 40–59, male	70	11.7%	5-19
Ages 25–39, male	65	10.8%	5-19
Ages 60 and over, female	40	6.7%	5-19
Ages 60 and over, male	35	5.8%	5-19
Ages 5–14, male	25	4.2%	5-19
Other / suppressed	10	1.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	285	49.6%	20-49
First move from municipality of birth	205	35.7%	20-49
Return to municipality of birth	85	14.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	40.0%	20-49
Completed high school, incomplete higher education	90	30.0%	5-19
Completed elementary, incomplete high school	80	26.7%	5-19
Other / suppressed	10	3.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	190	33.0%	20-49
¼ to ½ minimum wage	130	22.6%	20-49
1 to 2 minimum wages	125	21.7%	5-19
½ to 1 minimum wage	120	20.9%	20-49
Other / suppressed	10	1.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	110	19.5%	5-19
Ages 5–14, female	85	15.0%	5-19
Other / suppressed	70	12.4%	5-19
Ages 25–39, male	65	11.5%	5-19
Ages 40–59, male	60	10.6%	5-19
Ages 40–59, female	50	8.8%	5-19
Ages 25–39, female	50	8.8%	5-19
Ages 15–24, male	50	8.8%	5-19
Ages 5–14, male	25	4.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,700	49.3%	>=500
Completed high school, incomplete higher education	2,285	30.5%	100-499
Completed elementary, incomplete high school	1,030	13.7%	100-499
Completed higher education	485	6.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,735	32.1%	>=500
¼ to ½ minimum wage	3,345	28.8%	>=500
Up to ¼ of a minimum wage	2,210	19.0%	100-499
1 to 2 minimum wages	1,765	15.2%	100-499
More than 2 minimum wages	560	4.8%	100-499
Other / suppressed	5	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,620	14.8%	100-499
Ages 40–59, male	1,525	14.0%	100-499
Ages 25–39, female	1,320	12.1%	100-499
Ages 25–39, male	1,270	11.6%	100-499
Ages 60 and over, female	990	9.1%	100-499
Ages 15–24, male	880	8.1%	100-499
Ages 5–14, male	860	7.9%	100-499
Ages 15–24, female	855	7.8%	100-499
Ages 5–14, female	830	7.6%	100-499
Ages 60 and over, male	775	7.1%	100-499

Commuting (work and study)

Commuting indicators for Pendências/RN
Employed persons (aged 10 and over)	4,160
Commute out to work in another municipality	625
Commute in from another municipality to work here	415
Net commuting	−210
Out-commuting rate (%)	14.99
Commuting attraction index	0.917
Median commuting time	40 min

Open Pendências/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]: Pendências/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pendencias-rn-2409902/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.