Migration in Diamante/PB (2017–2022)

Diamante/PB had a reference population (aged 5 or over in 2022) of 5,845 people. In the 2017–2022 five-year period, the municipality received 350 in-migrants and lost 455 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−17.86 per 1,000 population) and a migration effectiveness index (IEM) of −0.130. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Diamante/PB, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	350	256 to 444	good
Out-migrants	455	277 to 633	use with caution
Net migration	−105	−306 to 96	not classified
Net migration rate, TLM (per 1,000 pop.)	−17.86	-	-
Migration effectiveness index (IEM)	−0.130	-	-

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 Diamante/PB
Origin	People	Precision
Boa Ventura/PB · view pair in the atlas	45	low precision
Brasília/DF · view pair in the atlas	35	low precision
João Pessoa/PB · view pair in the atlas	30	low precision
Ibiara/PB · view pair in the atlas	25	low precision
Santana de Mangueira/PB · view pair in the atlas	20	low precision
São Paulo/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Diamante/PB
Destination	People	Precision
Pitangueiras/SP · view pair in the atlas	80	low precision
Itaporanga/PB · view pair in the atlas	65	low precision
Ibiara/PB · view pair in the atlas	40	low precision
Boa Ventura/PB · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	145	41.4%	20-49
First move from municipality of birth	125	35.7%	20-49
Multi-step migration	80	22.9%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	37.2%	20-49
Completed high school, incomplete higher education	60	27.9%	5-19
Completed higher education	45	20.9%	5-19
Completed elementary, incomplete high school	30	14.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	28.6%	20-49
Up to ¼ of a minimum wage	85	24.3%	20-49
¼ to ½ minimum wage	85	24.3%	20-49
1 to 2 minimum wages	50	14.3%	5-19
More than 2 minimum wages	30	8.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	65	18.8%	20-49
Ages 25–39, female	60	17.4%	5-19
Ages 15–24, female	55	15.9%	5-19
Ages 40–59, female	45	13.0%	5-19
Ages 5–14, female	40	11.6%	5-19
Ages 40–59, male	30	8.7%	5-19
Ages 15–24, male	20	5.8%	5-19
Ages 5–14, male	20	5.8%	5-19
Other / suppressed	10	2.9%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	275	60.4%	20-49
Multi-step migration	135	29.7%	20-49
Return to municipality of birth	45	9.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed elementary, incomplete high school	100	37.0%	5-19
Completed high school, incomplete higher education	85	31.5%	5-19
No schooling or incomplete elementary	70	25.9%	5-19
Other / suppressed	15	5.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	155	33.7%	20-49
½ to 1 minimum wage	140	30.4%	20-49
1 to 2 minimum wages	85	18.5%	5-19
Up to ¼ of a minimum wage	45	9.8%	5-19
Other / suppressed	35	7.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	90	19.8%	5-19
Ages 40–59, female	70	15.4%	5-19
Ages 15–24, female	65	14.3%	5-19
Other / suppressed	55	12.1%	5-19
Ages 25–39, female	50	11.0%	5-19
Ages 5–14, male	50	11.0%	5-19
Ages 15–24, male	40	8.8%	5-19
Ages 40–59, male	35	7.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,275	59.4%	>=500
Completed high school, incomplete higher education	905	23.6%	100-499
Completed elementary, incomplete high school	410	10.7%	100-499
Completed higher education	240	6.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	1,950	32.8%	>=500
¼ to ½ minimum wage	1,705	28.7%	>=500
½ to 1 minimum wage	1,585	26.7%	100-499
1 to 2 minimum wages	595	10.0%	100-499
More than 2 minimum wages	105	1.8%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	795	14.5%	100-499
Ages 40–59, female	755	13.8%	100-499
Ages 25–39, female	645	11.8%	100-499
Ages 25–39, male	615	11.2%	100-499
Ages 60 and over, female	560	10.2%	100-499
Ages 60 and over, male	460	8.4%	100-499
Ages 15–24, male	435	7.9%	100-499
Ages 5–14, male	430	7.8%	100-499
Ages 15–24, female	400	7.3%	100-499
Ages 5–14, female	390	7.1%	100-499

Commuting (work and study)

Commuting indicators for Diamante/PB
Employed persons (aged 10 and over)	1,480
Commute out to work in another municipality	260
Commute in from another municipality to work here	90
Net commuting	−170
Out-commuting rate (%)	17.46
Commuting attraction index	0.859
Median commuting time	30 min

This municipality is part of Região Metropolitana do Vale do Piancó → see the metropolitan region page

Open Diamante/PB 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]: Diamante/PB. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/diamante-pb-2505600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.