Migration in Santa Luzia do Norte/AL (2017–2022)

Santa Luzia do Norte/AL had a reference population (aged 5 or over in 2022) of 6,355 people. In the 2017–2022 five-year period, the municipality received 295 in-migrants and lost 710 out-migrants to other municipalities in Brazil, resulting in a net migration of −415 people (−65.01 per 1,000 population) and a migration effectiveness index (IEM) of −0.412. 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 Luzia do Norte/AL, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	295	202 to 388	use with caution
Out-migrants	710	382 to 1,038	use with caution
Net migration	−415	−756 to −74	not classified
Net migration rate, TLM (per 1,000 pop.)	−65.01	-	-
Migration effectiveness index (IEM)	−0.412	-	-

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 Santa Luzia do Norte/AL
Origin	People	Precision
Maceió/AL · view pair in the atlas	95	use with caution
Coqueiro Seco/AL · view pair in the atlas	70	use with caution
Satuba/AL · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Santa Luzia do Norte/AL
Destination	People	Precision
Maceió/AL · view pair in the atlas	220	low precision
Rio Largo/AL · view pair in the atlas	100	low precision
Satuba/AL · view pair in the atlas	60	low precision
Coqueiro Seco/AL · view pair in the atlas	40	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	135	45.8%	20-49
Multi-step migration	120	40.7%	20-49
Return to municipality of birth	40	13.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	48.6%	20-49
Completed high school, incomplete higher education	45	25.7%	5-19
Completed elementary, incomplete high school	40	22.9%	5-19
Other / suppressed	5	2.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	100	33.9%	20-49
Up to ¼ of a minimum wage	80	27.1%	20-49
½ to 1 minimum wage	80	27.1%	20-49
1 to 2 minimum wages	30	10.2%	5-19
Other / suppressed	5	1.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, female	40	14.0%	5-19
Ages 25–39, female	40	14.0%	5-19
Ages 40–59, male	40	14.0%	5-19
Ages 40–59, female	35	12.3%	5-19
Ages 15–24, female	35	12.3%	5-19
Ages 25–39, male	30	10.5%	5-19
Ages 15–24, male	25	8.8%	5-19
Ages 5–14, male	20	7.0%	5-19
Ages 60 and over, male	15	5.3%	5-19
Other / suppressed	5	1.8%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	335	47.5%	20-49
Multi-step migration	220	31.2%	20-49
Return to municipality of birth	150	21.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	215	55.1%	5-19
No schooling or incomplete elementary	140	35.9%	5-19
Completed elementary, incomplete high school	35	9.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	240	33.8%	20-49
¼ to ½ minimum wage	215	30.3%	20-49
1 to 2 minimum wages	135	19.0%	5-19
½ to 1 minimum wage	120	16.9%	20-49
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	170	23.8%	5-19
Ages 5–14, male	105	14.7%	5-19
Ages 5–14, female	105	14.7%	5-19
Ages 15–24, male	80	11.2%	5-19
Ages 40–59, male	80	11.2%	5-19
Ages 25–39, male	70	9.8%	5-19
Ages 40–59, female	50	7.0%	5-19
Ages 15–24, female	30	4.2%	5-19
Other / suppressed	25	3.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,805	46.4%	>=500
Completed high school, incomplete higher education	1,390	35.7%	100-499
Completed elementary, incomplete high school	605	15.6%	100-499
Completed higher education	90	2.3%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	2,205	33.4%	>=500
½ to 1 minimum wage	2,080	31.5%	>=500
Up to ¼ of a minimum wage	1,600	24.2%	>=500
1 to 2 minimum wages	605	9.2%	100-499
More than 2 minimum wages	110	1.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	845	14.0%	100-499
Ages 25–39, female	835	13.8%	100-499
Ages 40–59, male	740	12.3%	100-499
Ages 25–39, male	680	11.3%	100-499
Ages 15–24, male	590	9.8%	100-499
Ages 15–24, female	555	9.2%	100-499
Ages 5–14, male	530	8.8%	100-499
Ages 5–14, female	470	7.8%	100-499
Ages 60 and over, female	435	7.2%	100-499
Ages 60 and over, male	330	5.5%	100-499
Other / suppressed	30	0.5%	5-19

Commuting (work and study)

Commuting indicators for Santa Luzia do Norte/AL
Employed persons (aged 10 and over)	2,185
Commute out to work in another municipality	770
Commute in from another municipality to work here	290
Net commuting	−480
Out-commuting rate (%)	35.15
Commuting attraction index	0.767
Median commuting time	60 min

This municipality is part of Região Metropolitana de Maceió → see the metropolitan region page

Open Santa Luzia do Norte/AL 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 Luzia do Norte/AL. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-luzia-do-norte-al-2707909/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.