18 datasets found
  1. Number, percentage and rate of homicide victims, by racialized identity...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +2more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number, percentage and rate of homicide victims, by racialized identity group, gender and region [Dataset]. http://doi.org/10.25318/3510020601-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

  2. Number of arrests in England and Wales 2006-2024, by gender

    • statista.com
    Updated Sep 26, 2024
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    Statista (2024). Number of arrests in England and Wales 2006-2024, by gender [Dataset]. https://www.statista.com/statistics/377412/arrests-england-and-wales-time-series-by-gender/
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    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2006 - Mar 31, 2024
    Area covered
    England, Wales
    Description

    In 2023/24, approximately 603,438 men and 113,762 women were arrested for offences in England and Wales, which was more than in the previous year for both males and females.

  3. a

    Violent crime and traffic offences causing bodily harm or death, Hamilton...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Jul 16, 2024
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    koke_McMaster (2024). Violent crime and traffic offences causing bodily harm or death, Hamilton CMA, 2021 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/07dcaf9517fb462e854457badaf61b34
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    Dataset updated
    Jul 16, 2024
    Dataset authored and provided by
    koke_McMaster
    Area covered
    Hamilton
    Description

    Intimate partner and non-intimate partner victims of police-reported violent crime and traffic offences causing bodily harm or death, by age and gender of victim c (1, 2)Frequency: AnnualTable: 35-10-0202-01Release date: 2023-11-21Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partTable Corrections: Date Note On December 10, 2021, the 2019 and 2020 data were revised as a result of corrections made to the populations used to calculate rates per 100 000 population. Footnotes: 1 In general, for police-reported incidents that involve violations against the person, a victim record is collected for each victim involved in the incident. If an individual is a victim in multiple incidents in the same reference year, that individual will be counted as one victim for each incident. Some victims experience violence over a period of time, sometimes years, all of which may be considered by the police to be part of one continuous incident and are counted as a single victim. Victim records are not required for all violent violations, but are accepted, for some violent offences such as uttering threats and criminal harassment. 2 Data are from the Uniform Crime Reporting (UCR2) Trend Database, which contains historical data that permit the analysis of trends since 2009 in the characteristics of incidents, and accused and victim characteristics, such as age, gender and accused–victim relationship. This database includes respondents accounting for 99% of the population of Canada. 3 A census metropolitan area (CMA) consists of one or more neighbouring municipalities situated around a major urban core. A CMA must have a total population of at least 100,000, of which 50,000 or more live in the urban core. To be included in the CMA, other adjacent municipalities must have a high degree of integration with the central urban core, as measured by commuting flows derived from census data. A CMA typically comprises more than one police service. CMA populations have been adjusted to follow policing boundaries. The Oshawa CMA is excluded from this analysis owing to the incongruity between the police service jurisdictional boundaries and the CMA boundaries. Belleville and Lethbridge became CMAs as of the 2016 Census. In 2022, coverage for each CMA was virtually 100%, except in Toronto (90%) and Hamilton (75%). As a result, counts and rates may differ from information from other sources. 4 Victim age is calculated based on the end date of an incident, as reported by the police. Some victims experience violence over a period of time, sometimes years, all of which may be considered by the police to be part of one continuous incident. 5 Excludes the portion of Halton Regional Police Service that polices the Hamilton census metropolitan area. As a result, counts and rates may differ from information from other sources. 6 The category “age of victim unknown” includes victims whose ages were reported as 80 years and older, but were identified as possible instances of miscoding, as well as victims in Quebec whose ages were unknown but were miscoded as 0. 7 Rates are calculated on the basis of 100,000 population in each age and gender group unless otherwise noted for specific relationships. Populations based on July 1 estimates from Statistics Canada, Centre for Demography. Rates for victims with unknown age or unknown gender are not available for any reference period, as population estimates cannot be applied to calculate rates where these elements are unknown. 9 The option for police to code victims as non-binary in the Uniform Crime Reporting (UCR) Survey was implemented in 2018. Given that small counts of victims identified as “non-binary” may exist, the UCR aggregate data available to the public have been recoded to assign these counts to either “male” or “female,” in order to ensure the protection of confidentiality and privacy. Victims identified as non-binary have been assigned to either male or female based on the regional distribution of victims’ gender. 8 Includes victims aged 15 years and older who were victimized by current and former legally married spouses and common-law partners. Also includes victims aged 12 years and older of current and former boyfriends and girlfriends and other intimate relationships (i.e., those with whom they had a sexual relationship but for which none of the other relationship categories apply). Spousal violence victims under the age of 15 years are included in the relationship category “other family.” Victims of non-spousal intimate partner violence under the age of 12 years are included in the relationship category “unknown relationship.” Rates for total victims are based on populations aged 12 years and older. Rates for other victim age groups are calculated on the basis of their corresponding age group populations.

  4. g

    2020 Police Criminal Statistics — T61 Non-German crime suspects after the...

    • gimi9.com
    Updated Feb 3, 2023
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    (2023). 2020 Police Criminal Statistics — T61 Non-German crime suspects after the occasion of the stay of the Federal Republic of Germany | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_23d6fcd8-acf6-4af8-bb0c-e1c689ca3f36/
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    Dataset updated
    Feb 3, 2023
    Area covered
    Germany
    Description

    Information on the proportion of male and female non-German offenders in the total number of suspects found (without taking into account the nationality) both for the offences as a whole and for each type of offence. Furthermore, a distinction is made between non-German defensive persons who are illegally or permitted to reside in the Federal Republic of Germany, and after the reason for the authorised stay per Land

  5. Number of missing persons files in the U.S. 2022, by race

    • statista.com
    Updated Jul 5, 2024
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    Number of missing persons files in the U.S. 2022, by race [Dataset]. https://www.statista.com/statistics/240396/number-of-missing-persons-files-in-the-us-by-race/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, there were 313,017 cases filed by the NCIC where the race of the reported missing was White. In the same year, 18,928 people were missing whose race was unknown.

    What is the NCIC?

    The National Crime Information Center (NCIC) is a digital database that stores crime data for the United States, so criminal justice agencies can access it. As a part of the FBI, it helps criminal justice professionals find criminals, missing people, stolen property, and terrorists. The NCIC database is broken down into 21 files. Seven files belong to stolen property and items, and 14 belong to persons, including the National Sex Offender Register, Missing Person, and Identify Theft. It works alongside federal, tribal, state, and local agencies. The NCIC’s goal is to maintain a centralized information system between local branches and offices, so information is easily accessible nationwide.

    Missing people in the United States

    A person is considered missing when they have disappeared and their location is unknown. A person who is considered missing might have left voluntarily, but that is not always the case. The number of the NCIC unidentified person files in the United States has fluctuated since 1990, and in 2022, there were slightly more NCIC missing person files for males as compared to females. Fortunately, the number of NCIC missing person files has been mostly decreasing since 1998.

  6. Los Angeles Crime Data 2010-2020

    • kaggle.com
    Updated Jun 22, 2021
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    Sumaia P (2021). Los Angeles Crime Data 2010-2020 [Dataset]. https://www.kaggle.com/sumaiaparveenshupti/los-angeles-crime-data-20102020/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 22, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sumaia P
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Los Angeles
    Description

    Context

    This dataset reflects incidents of crime in the City of Los Angeles dating back from 2010 to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as th the data in the database.

    Attribute Description

    DR_NO: Division of Records Number: Official file number made up of a 2 digit year, area ID, and 5 digits. API Field Name: MM/DD/YYYY. DATE OCC: MM/DD/YYYY. TIME OCC: In 24 hour military time. AREA: The LAPD has 21 Community Police Stations referred to as Geographic Areas within the department. These Geographic Areas are sequentially numbered from 1-21. AREA NAME: The 21 Geographic Areas or Patrol Divisions are also given a name designation that references a landmark or the surrounding community that it is responsible for. For example 77th Street Division is located at the intersection of South Broadway and 77th Street, serving neighborhoods in South Los Angeles. Rpt Dist No: A four-digit code that represents a sub-area within a Geographic Area. All crime records reference the "RD" that it occurred in for statistical comparisons. Crm Cd: Indicates the crime committed. (Same as Crime Code 1) Crm Cd Desc: Defines the Crime Code provided. Mocodes: Modus Operandi: Activities associated with the suspect in commission of the crime. Vict Age: Two character numeric. Vict Sex: F - Female M - Male X - Unknown. Vict Descent: Descent Code: A - Other Asian B - Black C - Chinese D - Cambodian F - Filipino G - Guamanian H - Hispanic/Latin/Mexican I - American Indian/Alaskan Native J - Japanese K - Korean L - Laotian O - Other P - Pacific Islander S - Samoan U - Hawaiian V - Vietnamese W - White X - Unknown Z - Asian Indian. Premis Cd: The type of structure, vehicle, or location where the crime took place. Premis Desc: Defines the Premise Code provided. Weapon Used Cd: The type of weapon used in the crime. Weapon Desc: Defines the Weapon Used Code provided. Status: Status of the case. (IC is the default). Status DEsc: Defines the Status Code provided. Crm Cd 1: Indicates the crime committed. Crime Code 1 is the primary and most serious one. Crime Code 2, 3, and 4 are respectively less serious offenses. Lower crime class numbers are more serious. Crm Cd 2: May contain a code for an additional crime, less serious than Crime Code 1. Crm Cd 3: May contain a code for an additional crime, less serious than Crime Code 1. Crm Cd 4: May contain a code for an additional crime, less serious than Crime Code 1. LOCATION: Street address of crime incident rounded to the nearest hundred block to maintain anonymity. Cross Street: Cross Street of rounded Address. LAT: Latitude. LON: Longitude.

    Acknowledgements

    Los Angeles Police Department

  7. Stalking: findings from the Crime Survey for England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 26, 2024
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    Office for National Statistics (2024). Stalking: findings from the Crime Survey for England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/stalkingfindingsfromthecrimesurveyforenglandandwales
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    xlsxAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Stalking experienced by women and men, including numbers, type and personal characteristics, based upon annual findings from the Crime Survey for England and Wales.

  8. Number, rate and percentage changes in rates of homicide victims

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number, rate and percentage changes in rates of homicide victims [Dataset]. http://doi.org/10.25318/3510006801-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, rate and percentage changes in rates of homicide victims, Canada, provinces and territories, 1961 to 2023.

  9. t

    Police Incidents

    • data.townofcary.org
    • s.cnmilf.com
    • +2more
    csv, excel, geojson +1
    Updated Feb 27, 2025
    + more versions
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    (2025). Police Incidents [Dataset]. https://data.townofcary.org/explore/dataset/cpd-incidents/
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    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains Crime and Safety data from the Cary Police Department.

    This data is extracted by the Town of Cary's Police Department's RMS application. The police incidents will provide data on the Part I crimes of arson, motor vehicle thefts, larcenies, burglaries, aggravated assaults, robberies and homicides. Sexual assaults and crimes involving juveniles will not appear to help protect the identities of victims.

    This dataset includes criminal offenses in the Town of Cary for the previous 10 calendar years plus the current year. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Crime data is updated daily however, incidents may be up to three days old before they first appear.

    About Crime Data

    The Cary Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated daily, adding new incidents and updating existing data with information gathered through the investigative process.

    This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Additional, content provided on this site may differ somewhat from crime statistics published elsewhere by other media outlets, even though they draw from the same database.

    Withheld Data

    In accordance with legal restrictions against identifying sexual assault and child abuse victims and juvenile perpetrators, victims, and witnesses of certain crimes, this site includes the following precautionary measures: (a) Addresses of sexual assaults are not included. (b) Child abuse cases, and other crimes which by their nature involve juveniles, or which the reports indicate involve juveniles as victims, suspects, or witnesses, are not reported at all.

    Certain crimes that are under current investigation may be omitted from the results in avoid comprising the investigative process.

    Incidents five days old or newer may not be included until the internal audit process has been completed.

    This data is updated daily.

  10. g

    2020 — Police crime statistics -T03 Basic table Federal Police | gimi9.com

    • gimi9.com
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    2020 — Police crime statistics -T03 Basic table Federal Police | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_b299eb0a-38da-4c75-818e-12e0fa9003fd/
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    Description

    Information on cases dealt with by the Federal Police (total number, number of attempts, breakdown by offence, distribution of crime sites, proportions of male, female, non-German suspects)

  11. g

    2020 — Police crime statistics — T01 ZR Basic table cases from 1987 |...

    • gimi9.com
    Updated Mar 31, 2022
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    (2022). 2020 — Police crime statistics — T01 ZR Basic table cases from 1987 | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_fca27d16-6d27-4154-8ae0-8c8c1ec4724d/
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    Dataset updated
    Mar 31, 2022
    Description

    Time series Information on cases (total number, number of attempts, breakdown by offence, crime location distribution, proportions of male, female, non-German suspects)

  12. Police personnel and selected crime statistics

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Mar 26, 2024
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    Government of Canada, Statistics Canada (2024). Police personnel and selected crime statistics [Dataset]. http://doi.org/10.25318/3510007601-eng
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    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Data on police personnel (police officers by gender, civilian and other personnel), police-civilian ratio, police officers and authorized strength per 100,000 population, authorized police officer strength and selected crime statistics. Data is provided for Canada, provinces, territories and the Royal Canadian Mounted Police (RCMP) headquarters, training academy depot division and forensic labs, 1986 to 2023.

  13. g

    2020 — Police crime statistics -T02 Basic table Economic crime | gimi9.com

    • gimi9.com
    Updated Mar 31, 2022
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    (2022). 2020 — Police crime statistics -T02 Basic table Economic crime | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_4b5db359-5489-4880-9c41-4c8bdddcae90/
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    Dataset updated
    Mar 31, 2022
    Description

    Information on cases of economic crime (total number, number of attempts, breakdown by offence, crime location distribution, proportions of male, female, non-German suspects)

  14. g

    2020 — Police Criminal Statistics — T07 Crimes by damage level Federal...

    • gimi9.com
    Updated Mar 31, 2022
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    (2022). 2020 — Police Criminal Statistics — T07 Crimes by damage level Federal Republic WiKri Faelle | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_d55ea0bc-5c7e-4415-9aa7-7ec7767dc117
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    Dataset updated
    Mar 31, 2022
    Description

    Information on cases of economic crime (total number, number of attempts, breakdown by offence, distribution of crime, proportions of male, female, non-German crime suspects) per federal state

  15. M

    Pakistan Crime Rate & Statistics 1990-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Pakistan Crime Rate & Statistics 1990-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/PAK/pakistan/crime-rate-statistics
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    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1990 - Mar 27, 2025
    Area covered
    Pakistan
    Description

    Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.

  16. Police personnel and selected crime statistics, municipal police services

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Mar 26, 2024
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    Government of Canada, Statistics Canada (2024). Police personnel and selected crime statistics, municipal police services [Dataset]. http://doi.org/10.25318/3510007701-eng
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    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Data on police personnel (police officers by gender, civilian and other personnel), police officers and authorized strength per 100,000 population, authorized police officer strength, population, net gain or loss from hirings and departures, police officers eligible to retire and selected crime statistics. Data is provided for municipal police services, 2000 to 2023.

  17. d

    #metoo Digital Media Collection - Second quarter 2020

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Maiorana, Zachary; Morales Henry, Pablo; Weintraub, Jennifer (2023). #metoo Digital Media Collection - Second quarter 2020 [Dataset]. https://search.dataone.org/view/sha256%3A6ecb035999ce2cdfe0776c6d4886c6c2224d74be2689ef5eaee6aaa4e8f53bd5
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Maiorana, Zachary; Morales Henry, Pablo; Weintraub, Jennifer
    Description

    This dataset contains the tweet ids of 1,360,764 tweets, including tweets between April 1, 2020 and June 30, 2020. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that there will be no updates to this dataset.The following list of terms includes the hashtags used to collect data for this dataset: #metoo, #timesup, #metoostem, #sciencetoo, #metoophd, #shittymediamen, #churchtoo, #ustoo, #metooMVMT, #ARmetoo, #TimesUpAR, #metooSociology, #metooSexScience, #timesupAcademia, and #metooMedicine.Be aware that previous quarters (up to the first quarter of 2020) only include one hashtag: #metoo.Because of the size of the files, the list of identifiers are split into 2 files containing up to 1,000,000 ids each.Per Twitter's Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets that are still available (not deleted by users) tools like Hydrator are available.There are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available by quarter, as well as a full dataset with a larger corpus of hashtags.

  18. g

    2020 — Police crime statistics -T05 Basic table | gimi9.com

    • gimi9.com
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    2020 — Police crime statistics -T05 Basic table | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_39711365-10ba-46f4-b66e-c6b8d1c7713b/
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    Description

    Information on cases committed with the Internet (total number, number of attempts, breakdown by offence, distribution of crime, proportions of male, female, non-German suspects)

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Government of Canada, Statistics Canada (2024). Number, percentage and rate of homicide victims, by racialized identity group, gender and region [Dataset]. http://doi.org/10.25318/3510020601-eng
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Number, percentage and rate of homicide victims, by racialized identity group, gender and region

3510020601

Explore at:
Dataset updated
Jul 25, 2024
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

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