Diabetes Deaths Per 100,000 (Age-Std) 1956

Diabetes deaths per 100,000 people reveal health trends. Compare countries and explore interactive maps for deeper insights.

30 data pointsGlobal CoverageWorld Health Organization (WHO)

Interactive Map

Complete Data Rankings

Rank
1
Trinidad and Tobago flag
Trinidad and Tobago
46.417
2
Sri Lanka flag
Sri Lanka
30.33
3
Japan flag
Japan
26.6
4
Belgium flag
Belgium
26.057
5
Uruguay flag
Uruguay
24.565
6
Hungary flag
Hungary
22.832
7
Mexico flag
Mexico
22.576
8
Colombia flag
Colombia
22.121
9
Italy flag
Italy
21.759
10
Australia flag
Australia
21.422
11
Netherlands flag
Netherlands
21.229
12
New Zealand flag
New Zealand
20.909
13
United States flag
United States
20.755
14
Spain flag
Spain
20.357
15
Panama flag
Panama
20.05
16
Switzerland flag
Switzerland
19.778
17
Ireland flag
Ireland
19.487
18
Canada flag
Canada
19.48
19
Venezuela flag
Venezuela
18.235
20
Chile flag
Chile
17.989
21
Finland flag
Finland
14.694
22
France flag
France
14.218
23
Austria flag
Austria
13.601
24
Sweden flag
Sweden
12.795
25
United Kingdom flag
United Kingdom
12.725
26
Norway flag
Norway
12.429
27
Portugal flag
Portugal
10.023
28
Denmark flag
Denmark
9.621
29
China, Hong Kong SAR flag
China, Hong Kong SAR
8.759
30
Iceland flag
Iceland
7.962

Top 10 Countries

  1. #1Trinidad and Tobago flagTrinidad and Tobago
  2. #2Sri Lanka flagSri Lanka
  3. #3Japan flagJapan
  4. #4Belgium flagBelgium
  5. #5Uruguay flagUruguay
  6. #6Hungary flagHungary
  7. #7Mexico flagMexico
  8. #8Colombia flagColombia
  9. #9Italy flagItaly
  10. #10Australia flagAustralia

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

Bottom 10 Countries

  1. #30Iceland flagIceland
  2. #29China, Hong Kong SAR flagChina, Hong Kong SAR
  3. #28Denmark flagDenmark
  4. #27Portugal flagPortugal
  5. #26Norway flagNorway
  6. #25United Kingdom flagUnited Kingdom
  7. #24Sweden flagSweden
  8. #23Austria flagAustria
  9. #22France flagFrance
  10. #21Finland flagFinland

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

Highest and Lowest Diabetes Deaths Per 100,000 (Age-Std) in 1956

In 1956, Trinidad and Tobago reported the highest rate of Diabetes Deaths Per 100,000 (Age-Std) at 46.42, while the lowest was recorded in Iceland at 7.96. The global average for this metric during the same year was 19.33, with a median of 20.05. These figures underscore significant disparities in diabetes-related mortality across different countries, highlighting varying health challenges and demographic factors.

Geographic and Economic Influences on Diabetes Mortality

Geographic location and economic status play crucial roles in diabetes mortality rates. For instance, countries like Japan (26.60) and Belgium (26.06) demonstrate higher mortality rates, which can be attributed to lifestyle factors and dietary habits prevalent in these regions. In contrast, Iceland, with the lowest rate of 7.96, benefits from a strong healthcare system and lower prevalence of obesity, which is closely linked to diabetes. The economic stability in Iceland may contribute to better overall health outcomes, as access to medical care and health education is generally higher.

Furthermore, countries like Mexico (22.58) and Colombia (22.12) reflect a growing concern over diabetes as urbanization increases. The shift from traditional diets to more processed foods has led to rising obesity rates, further exacerbating health challenges associated with diabetes. As urban centers expand, the lifestyle changes often lead to increased consumption of high-sugar and high-fat diets, which are significant risk factors for diabetes.

Year-over-Year Changes: The Movers and Shakers

The year-over-year changes in diabetes deaths reveal significant trends. Notably, Spain saw the largest increase with a rise of 4.84 deaths per 100,000, equating to a staggering 31.2% increase. This surge may be linked to changes in public health policies and increased prevalence of diabetes in the population. Similarly, Panama experienced an increase of 4.59, reflecting similar health challenges. Conversely, Trinidad and Tobago experienced a notable decrease of -9.94, which may indicate effective public health interventions or shifts in lifestyle that have positively impacted diabetes mortality rates.

Other countries such as Hungary (+4.20) and Mexico (+2.84) also showed significant increases, suggesting a need for improved health policies and diabetes prevention strategies. In contrast, the declines in countries like Uruguay (-2.69) and Chile (-1.13) could indicate successful diabetes management programs or shifts in public awareness regarding diabetes risk factors.

Demographics and Lifestyle Factors Contributing to Diabetes Deaths

Demographic trends play a vital role in shaping diabetes mortality rates. Countries with aging populations, such as Italy (21.76) and Australia (21.42), face higher risks as age is a significant factor in diabetes-related complications. The increasing life expectancy can lead to a larger number of individuals living with diabetes, thus elevating death rates.

Moreover, lifestyle factors such as diet, physical activity, and healthcare access further influence these statistics. Countries like Hungary and Mexico show the impact of lifestyle-related health issues, with rising rates of obesity contributing to diabetes prevalence. In contrast, nations like Iceland and Norway maintain healthier lifestyles and robust healthcare systems, resulting in lower diabetes mortality rates.

In summary, the data from 1956 reveals a complex interplay of geographic, economic, and demographic factors influencing diabetes deaths per 100,000 across different countries. Understanding these patterns is essential for developing targeted health interventions and improving diabetes management globally.

Data Source

World Health Organization (WHO)

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Historical Data by Year

Explore Diabetes Deaths Per 100,000 (Age-Std) data across different years. Compare trends and see how statistics have changed over time.

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