Albania Road Fatalities: Per One Million Inhabitants data was reported at 6.992 Ratio in 2023. This records an increase from the previous number of 5.904 Ratio for 2022. Albania Road Fatalities: Per One Million Inhabitants data is updated yearly, averaging 9.305 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 13.125 Ratio in 1994 and a record low of 5.904 Ratio in 2022. Albania Road Fatalities: Per One Million Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Albania – Table AL.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made.

In 2022, over 4.5 million light trucks were involved in U.S. traffic crashes, accounting for 43.2 percent of the overall total. The second highest were passenger cars, being involved in four million car crashes and accounting for 38.1 percent of the total. Motor vehicle crashes are among the leading causes of death among those under the age of 55 in the United States.

Albania Road Fatalities: 30 days data was reported at 61.000 Person in Dec 2024. This records an increase from the previous number of 39.000 Person for Sep 2024. Albania Road Fatalities: 30 days data is updated quarterly, averaging 67.000 Person from Mar 1994 (Median) to Dec 2024, with 124 observations. The data reached an all-time high of 125.000 Person in Sep 2007 and a record low of 33.000 Person in Sep 2022. Albania Road Fatalities: 30 days data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Albania – Table AL.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Quarterly. [COVERAGE] Number of road fatalities is defined as the number of road deaths in the 30 days following the accident. [STAT_CONC_DEF] Until 2016, monthly data are not available.

Supplementary Data 1 and 2 for Mori et al. (2025) Ingestion doses from radionuclides in seafood before and after the Fukushima Daiichi Nuclear Power Plant accident.

Supplementary Data 1: Final dataset of radionuclide concentrations in seafood used for calculations in this study.

Supplementary Data 2: Geometric means and geometric standard deviations of radionuclide concentrations in seafood in each subarea.

This replication package accompanies the article “In the Weeds of Traffic Fatalities: Revisiting the Effect of Medical Marijuana Laws.” The research re-evaluates the widely cited finding that medical marijuana laws (MMLs) significantly reduce traffic fatalities. The central hypothesis is that previous estimates of MML effects may be biased due to unaccounted-for pre-treatment trends and hard to interpret because of heterogeneity across states.

The dataset is a panel of U.S. states from 1990 to 2010, constructed to closely replicate Anderson et al. (2013). It includes annual, state-level traffic fatality rates (log-transformed per 100,000 population), a binary indicator for MML adoption, and a rich set of covariates covering demographics, driving laws, traffic enforcement measures, and substance-related policies.

The key finding is that states legalizing medical marijuana were already experiencing declining traffic fatalities before legalization. When accounting for these pre-trends using the Imputation Procedure (Borusyak et al., 2024), the estimated effect of MMLs shifts from negative to either zero or positive—depending on included covariates. The data also reveal large heterogeneity across states, with California disproportionately influencing population-weighted estimates.

Update (25 Aug 2015) An error was identified in Table 7 and Table 9 of the Provider Level Analysis, where values suppressed as part of disclosure control were not included in the numerator for 'percentage within 4 hours' (table 7) or 'All - Sum' (table 9). Overall, a quarter of all providers listed were affected, ranging from minimal impact on most providers (less than one percentage point variation) to moderate impact on some smaller providers (up to twelve percentage points variation). This is the 6th annual publication of the Accident and Emergency (A&E) Attendance data within Hospital Episodes Statistics (HES). It covers the period April 2012 to March 2013 and draws on just over 18 million detailed records of attendances at major A&E departments, single specialty A&E departments, minor injuries units and walk-in centres in England. Publishing the A&E HES data enables initial conclusions to be presented for discussion and aims to promote and highlight the uses of this potentially rich data set. During the period covered by this publication, not all providers have completed data submissions and data quality is poor in some cases. The publication also includes analysis of the A&E HES data compared to the NHS England Weekly Situation Reports (Sit Reps), the official source of A&E information, to highlight areas for further investigation. NHS organisations can review their own data to ascertain the extent to which their local trend follows the national pattern. This can be done by using the accompanying interactive provider-level analysis file.

In 2023/24, 138 workers died due to fatal injuries at their workplace in Great Britain, more than in the previous year but fewer than there were in 2020/21. During the provided time period, there has been a noticeable decline in the number of workplace fatalities in Britain.

Información sobre accidentes en Leeds. Los datos incluyen la ubicación, el número de personas y vehículos involucrados, la superficie de la carretera, las condiciones climáticas y la gravedad de las víctimas.

Tenga en cuenta

• Los Eastings y Northings se generan en el borde de la carretera donde ocurrió el accidente. A veces, debido a la mala conectividad a Internet, estos datos pueden no ser tan precisos como podrían ser.Si nota algún error, comuníquese con accident.studies@leeds.gov.uk.

Debido al formato del informe, se repiten varias cifras en las columnas, a saber:

• Número de referencia

• Orientación

• Al norte

• Número de vehículos

• Fecha del accidente

• Tiempo (24 horas)

• 1a clase de carretera

• Superficie de la carretera

• Condiciones de iluminación

• Condiciones meteorológicas

Número de referencia

Ref. de la rejilla:Orientación

Ref. de la rejilla: Northing

Número de vehículos Fecha del accidente

Tiempo (24 horas)

21G0539

427798

426248

5

16.1.2015

1205 21G0539

427798

426248

5

16.1.2015

1205

21G1108

431142

430087

1

16.1.2015

1732

21H0565

434602

436699>

1

17.1.2015

930

21H0638

434254

434318

2

17.1.2015 1315 21H0638

434254

434318

2

17.1.2015

1315

Por lo tanto, el número de vehículos involucrados en el accidente 21G0539 fue 5, y en el accidente 21H0638 fueron 2. En general, en el ejemplo anterior, un total de 9 vehículos estuvieron involucrados en accidentes

Una herramienta útil para analizar los datos son las tablas dinámicas de Excel, que ayudan a resumir grandes cantidades de datos en una tabla fácil de ver, para obtener más información sobre la tabla dinámica visite aquí.

Más información

• Consulte el documento de orientación para obtener más información sobre las categorías.

Road Fatalities：每10万居民在12-01-2023达6.992Ratio，相较于12-01-2022的5.904Ratio有所增长。Road Fatalities：每10万居民数据按年更新，12-01-1994至12-01-2023期间平均值为9.305Ratio，共30份观测结果。该数据的历史最高值出现于12-01-1994，达13.125Ratio，而历史最低值则出现于12-01-2022，为5.904Ratio。CEIC提供的Road Fatalities：每10万居民数据处于定期更新的状态，数据来源于Organisation for Economic Co-operation and Development，数据归类于全球数据库的阿尔巴尼亚 – Table AL.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Annual。

Road Fatalities：30天在12-01-2024达61.000人，相较于09-01-2024的39.000人有所增长。Road Fatalities：30天数据按季更新，03-01-1994至12-01-2024期间平均值为67.000人，共124份观测结果。该数据的历史最高值出现于09-01-2007，达125.000人，而历史最低值则出现于09-01-2022，为33.000人。CEIC提供的Road Fatalities：30天数据处于定期更新的状态，数据来源于Organisation for Economic Co-operation and Development，数据归类于全球数据库的阿尔巴尼亚 – Table AL.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Quarterly。