IBOV 183,827.59 ▲ 0.46% IPSA 11,055.91 ▼ 0.73% IPC MEX 65,071.30 ▲ 0.20% MERVAL 2,782,561 ▼ 0.59% COLCAP 2,558.92 ▼ 0.79% BVL PERÚ 60,220.45 ▲ 0.32% USD/BRL5.20▼ 0.43% USD/MXN18.07▲ 0.13% USD/CLP972.08▲ 0.38% USD/COP3,323▲ 0.62% USD/PEN3.44— 0.00% USD/ARS1,524▼ 0.05% USD/UYU40.27▲ 3.67% USD/PYG5,843▲ 2.30% USD/BOB11.96▲ 0.45% USD/DOP59.27▲ 2.75% USD/CRC452.68▲ 2.68% USD/GTQ7.64▲ 3.13% USD/HNL26.87▲ 3.23% USD/NIO36.62▲ 0.34% USD/VES856.92▲ 0.01% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD 157.28 — 0.00% USD/TTD6.70▲ 1.64% EUR/BRL5.90▲ 0.01% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73% IBOV 183,827.59 ▲ 0.46% IPSA 11,055.91 ▼ 0.73% IPC MEX 65,071.30 ▲ 0.20% MERVAL 2,782,561 ▼ 0.59% COLCAP 2,558.92 ▼ 0.79% BVL PERÚ 60,220.45 ▲ 0.32% USD/BRL 5.16 ▲ 0.01% USD/MXN 17.06 ▼ 0.24% USD/CLP 913.98 ▲ 0.04% USD/COP 3,140 ▲ 0.03% USD/PEN 3.36 ▼ 0.66% USD/ARS 1,493 ▲ 0.10% USD/UYU 40.27 ▲ 1.24% USD/PYG 5,939 ▲ 1.68% USD/BOB 11.64 ▼ 0.76% USD/DOP 58.34 ▲ 1.25% USD/CRC 445.92 ▲ 0.89% USD/GTQ 7.62 ▲ 2.21% USD/HNL 26.79 ▲ 1.57% USD/NIO 36.62 ▲ 0.69% USD/VES 762.44 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.28 — 0.00% USD/TTD 6.70 ▲ 0.61% EUR/BRL 5.95 ▲ 1.01% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73%
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Wednesday, September 30, 2026

Brazil’s Human Development Index: A Post-Pandemic Assessment

By · May 28, 2024 · 2 min read

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A recent UNDP report examines Brazil’s Municipal Human Development Index (MHDI) decline from 2019 to 2021 during the COVID-19 pandemic.

The MHDI evaluates critical aspects such as longevity, education, income, and quality of life.

Strategic public policies were crucial in mitigating the pandemic’s negative impact on development indicators.

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All Brazilian states encountered challenges, with varying responses. Maranhão saw a modest 2.6% decline despite typically low development rankings.

Meanwhile, the wealthier Federal District experienced a sharper 5.2% drop. Alagoas and Sergipe showed resilience, each with only a 0.4% decrease.

Brazil's Human Development Index: A Post-Pandemic Assessment - Wealth in Florianópolis.
Brazil’s Human Development Index: A Post-Pandemic Assessment – Wealth in Florianópolis.
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Conversely, Amapá and Roraima faced the most severe reductions, declining by 6.6% and 6.7%, respectively.

From a broader perspective, Brazil’s national HDI rose by 5.2% between 2012 and 2019 but retracted by 2.4% from 2019 to 2021.

The pandemic left a marked imprint, reducing the 2021 MHDI to 0.766—a slight improvement from 0.746 in 2012.

This decline significantly affected the health, income, and education sectors.

The report highlights slow progress in closing the HDI gap between white and Afro-Brazilian populations due to ongoing gender and racial disparities.

It suggests it could take up to 35 years to bridge these gaps under current growth patterns.

Particularly vulnerable are regions led by Afro-Brazilian women, who experience lower education levels, income, and life expectancy.

São Paulo and Florianópolis topped MHDI scores, while Maceió, Manaus, and Macapá ranked lowest.

This data highlights the urgent need for effective policies and strong governance to tackle developmental disparities and aid post-pandemic recovery.

Effective management in these regions could potentially accelerate progress and help close the development gap more swiftly.

This article was drafted with automated assistance and reviewed before publication. How we use AI · Report an error

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