IBOV 174,913.04 ▲ 0.19% IPSA 11,426.41 ▲ 0.50% IPC MEX 66,090.98 ▼ 0.15% MERVAL 3,007,801 ▼ 0.57% COLCAP 2,493.41 ▼ 0.45% BVL PERÚ 60,629.82 ▼ 0.05% USD/BRL5.17▲ 0.30% USD/MXN16.96▲ 0.04% USD/CLP923.61▲ 0.21% USD/COP3,143▲ 1.59% USD/PEN3.34▼ 0.04% USD/ARS1,514▼ 0.05% USD/UYU40.25▲ 1.53% USD/PYG5,905▲ 0.48% USD/BOB11.65▲ 2.81% USD/DOP58.25▲ 0.75% USD/CRC448.38▲ 1.62% USD/GTQ7.63▲ 2.37% USD/HNL26.83▲ 1.77% USD/NIO36.62▲ 0.79% USD/VES789.35▼ 0.13% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD 157.28 — 0.00% USD/TTD6.73▲ 1.14% EUR/BRL6.02▲ 0.25% 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 174,913.04 ▲ 0.19% IPSA 11,426.41 ▲ 0.50% IPC MEX 66,090.98 ▼ 0.15% MERVAL 3,007,801 ▼ 0.57% COLCAP 2,493.41 ▼ 0.45% BVL PERÚ 60,629.82 ▼ 0.05% 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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Interactive map reveals dramatic demographic shifts in Sweden and Germany

By · June 13, 2023 · 1 min read

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The demographic landscapes of Sweden and Germany are undergoing drastic transformations, primarily due to mass migration.

Bernhard Zimniok, a politician from Alternative für Deutschland, developed an interactive map illustrating these significant changes.

The interactive tool vividly portrays Sweden’s demographic alterations from 2002 to 2020, using data from Statistics Sweden.

It categorizes individuals of foreign origin as those born within or outside Sweden with one or both parents from abroad.

Interactive map reveals dramatic demographic shifts in Sweden and Germany. (Photo Internet reproduction)
Interactive map reveals dramatic demographic shifts in Sweden and Germany. (Photo Internet reproduction)
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This approach offers a detailed understanding of population changes in Sweden, revealing a substantial demographic transformation over the analyzed period.

The map also enables age-specific analyses and provides projections for the future.

Similarly, Germany has seen notable demographic shifts due to mass migration. The map represents Germany’s population composition, focusing on individuals of foreign origin by age and gender.

Data for this section originates from the Federal Statistical Office’s special microcensus evaluations for various years.

However, some regions in Germany have not provided data, leading to gaps on the map.

Despite these limitations, the available information emphasizes the considerable impact of migration on different regions.

Zimniok invites individuals worldwide to contribute to this project.

Those interested in supplying their country’s demographic data can reach out to the team by emailing [email protected].

This collaborative effort can enhance the project’s dataset and extend its scope.

 

This article was produced by The Rio Times’ automated newsroom system. How we use AI · Report an error

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