In 2024, there were 301,623 cases filed by the National Crime Information Center (NCIC) where the race of the reported missing person was white. In the same year, 17,097 people whose race was unknown were also reported missing in the United States. 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.

Context : The ICC Women's T20 World Cup is a (generally) bi-annual cricket tournament for women's international teams. This dataset looks at the editions in 2014, 2016, 2018, 2020 and 2023, in which 10 teams have competed. This dataset contains both match overview data and ball by ball data, as well as a players list.

A handful of matches are missing from the source data (as far as I'm aware, the 2nd, 6th, 9th and 11th games from the 2014 world cup). Runs/Wickets additions contain the wickets taken and runs scored by each player in these missing matches, but this information is not in any of the main files.

Notebooks - To see some charts based on this data go to - Match overview : https://www.kaggle.com/code/acidbear55/women-s-t20-world-cups-data-visualisation - Ball by Ball : https://www.kaggle.com/code/acidbear55/women-s-icc-t20-world-cup-ball-by-ball/notebook

Sources - All this data was taken from https://cricsheet.org/downloads/ , under BY EVENT, and from 'ICC Women's T20 World Cup'. Originally the data came as one json file per match, which has now been combined into a single CSV file.

Python code used to clean and create the csv files can be found at : https://github.com/annaFlett/T20WCData

Any feedback is much appreciated :)

As of June 2021, the cumulative number of cases of missing people amounted to 267 thousand. More specifically, the chart displays the total number of reports recorded by the Police between 1974 and June 2021. In 1974, a database recording the number of missing people cases was started.

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 2024.

This dataset contains descriptions of unidentified remains whose cases have been processed by the Medical Examiner’s Office.

Call 312-666-0500 to speak to Deputy Chief Investigator, Earl Briggs, about matching one of these unidentified bodies to the identity of a missing person. Descriptions of cases can also be found at NAMUS.gov

Please note that images posted in this section may be graphic in nature and may not be appropriate for all users.

Women in times of COVID-19. Topics: negative impact of selected governmental measures to stop the spread of the COVID-19 pandemic on personal mental health (scale): workplace and office closures, school and childcare closures, lockdown and curfew measures, limitations in the number of people allowed to meet, travel restrictions; most frequent feelings since the beginning of the COVID-19 pandemic: feeling lonely or isolated, feeling worried or anxious, concerned about personal mental wellbeing, worried about others developing mental health problems, missing friends or family, worried about personal future, feeling trapped, feeling depressed, feeling bored, none; preferred point to turn or activity in case of feeling stressed or anxious: friends or family, religious or spiritual group, online group, general practitioner, psychologist, hospital, hobbies, work or colleagues, nothing; change in financial dependency from partner or family due to the pandemic; attitude towards the following statements on the impact of the COVID-19 pandemic: negative impact on personal work-life-balance, respondent does less paid work due to the pandemic’s impact on the job market, consideration / decision to permanently reduce the amount of time allocated to paid work, change of professional decisions, negative impact on personal income, respondent does less paid work due to the increase in work at home; assessment of the development of violence against women in the own country due to the pandemic; acquaintance with women who experienced one of the following forms of violence: domestic violence or abuse, economic violence, street harassment, harassment at work, online harassment / cyber violence; preferred key measures to be taken in order to reduce physical and emotional violence against women in the own country: more awareness raising campaigns and more education about the subject, increase awareness and training of police and judiciary on the subject, make it easier to report violence against women, increase the options for women to seek help, improve women’s access to healthcare, improve women’s access to abortion, more measures to tackle online harassment, increase women’s financial independence, other; preferred gender-related issues to be tackled by the Members of Parliament as a priority; likelihood to vote in the next European Parliament elections (Sunday question); self-rated interest with regard to European issues; importance of the own country being a member of the European Union (scale). Demography: nationality; type of community; family situation; age; sex; personal identification as: ethnic or religious minority, migrant / refugee / asylum seeker / displaced person, person with disabilities, LGBTIQ+, other minority group, none; age at end of education; occupation; professional position; household composition and household size. Additionally coded was: respondent ID; country; region; nation group; weighting factor. Frauen in Zeiten von COVID-19. Themen: negative Auswirkungen ausgewählter Regierungsmaßnahmen zur Bekämpfung der Corona-Pandemie auf die persönliche seelische Gesundheit (Skala): Schließungen von Arbeitsplatz und Büro, Schließungen von Schulen und Kinderbetreuung, Lockdown und Ausgangssperren, Kontaktbeschränkungen, Reisebeschränkungen; häufigste Gefühle seit Beginn der COVID-19-Pandemie: Einsamkeit oder Isolation, Traurigkeit oder Ängstlichkeit, Besorgnis über persönliches seelisches Wohlbefinden, Besorgnis über das seelische Wohlbefinden anderer, Vermissen von Freunden oder Familie, Besorgnis über die persönliche Zukunft, Gefangensein, Depressionen, Langeweile, nichts davon; präferierter Kontakt bzw. präferierte Aktivität bei Problemen mit Stress oder Ängsten: Freunde oder Familie, religiöse oder spirituelle Gruppen, Online-Gruppen, Hausarzt, Psychologe, Krankenhaus, Hobbys, Arbeit oder Kollegen, nichts; Veränderung der finanziellen Abhängigkeit von Partner bzw. Familie aufgrund der Corona-Pandemie; Einstellung zu den folgenden Aussagen über die Auswirkungen der Corona-Pandemie: negative Auswirkungen auf persönliche Work-Life-Balance, weniger bezahlte Arbeit als gewünscht aufgrund der Auswirkungen auf den Arbeitsmarkt, Überlegungen / Entscheidung zur Reduktion der Arbeitszeit, Änderung beruflicher Pläne, negative Auswirkungen auf das persönliche Einkommen, weniger bezahlte Arbeit aufgrund von Mehrarbeit im Haushalt; Bewertung der Veränderung der Gewalt gegen Frauen im eigenen Land aufgrund der Pandemie; Bekanntschaft mit Frauen, die Opfer einer der folgenden Arten von Gewalt geworden sind: häusliche Gewalt oder Missbrauch, wirtschaftliche Gewalt, Belästigung auf der Straße, Belästigung bei der Arbeit, Online-Belästigung / Cybergewalt; präferierte Schlüsselmaßnahmen zur Reduktion körperlicher und seelischer Gewalt gegen Frauen im eigenen Land: mehr Kampagnen zur Sensibilisierung und mehr Aufklärung zu dem Thema, verstärkte Sensibilisierung und Schulung von Polizei und Justiz zu dem Thema, Vereinfachung der Anzeige von Gewalt, mehr Hilfsangebote für Betroffene, verbesserter Zugang zu medizinischer Versorgung, vereinfachter Zugang zu Abtreibungen, mehr Maßnahmen gegen Online-Belästigungen, Stärkung der finanziellen Unabhängigkeit von Frauen, sonstiges; präferierte, von den Mitgliedern des Europäischen Parlaments vorrangig anzugehende geschlechtsbezogene Probleme; Wahrscheinlichkeit zur Teilnahme an den nächsten Wahlen zum Europäischen Parlament (Sonntagsfrage); Selbsteinschätzung des Interesses im Hinblick auf europäische Angelegenheiten; Wichtigkeit der EU-Mitgliedschaft des eigenen Landes (Skala). Demographie: Staatsangehörigkeit; Urbanisierungsgrad; Familiensituation; Alter; Geschlecht; persönliche Zugehörigkeit zu den folgenden Gruppen: ethnische oder religiöse Minderheit, Migranten / Flüchtlinge / Asylsuchende / Vertriebene, Personen mit Behinderungen, LGBTIQ+, andere Minderheitengruppe, nichts davon; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Land; Region; Nationengruppe; Gewichtungsfaktor.

Abstract (en): The Study of Women's Health Across the Nation (SWAN), is a multi-site longitudinal, epidemiologic study designed to examine the health of women during their middle years. The study examines the physical, biological, psychological, and social changes during this transitional period. The goal of SWAN's research is to help scientists, health care providers, and women learn how mid-life experiences affect health and quality of life during aging. The data include questions about doctor visits, medical conditions, medications, treatments, medical procedures, relationships, smoking, and menopause related information. The study is co-sponsored by the National Institute on Aging (NIA), the National Institute of Nursing Research (NINR), the National Institutes of Health (NIH), and the NIH Office of Research on Women's Health. The study began in 1994. Between 1999 and 2001, 2,710 of the 3,302 women that joined SWAN were seen for their third follow-up visit. The research centers are located in the following communities: Detroit, Michigan; Boston, Massachusetts; Chicago, Illinois; Oakland and Los Angeles, California; Newark, New Jersey; and Pittsburgh, Pennsylvania. SWAN participants represent five racial/ethnic groups and a variety of backgrounds and cultures. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Raw data can be used to create CES-D and SF-36 scores. Response Rates: 16,065 completed the screening interview. 3,302 were enrolled in the longitudinal study. 2,881 completed the first follow-up visit. 2,748 completed the second follow-up visit. 2,710 completed the third follow-up visit. Datasets:DS1: Study of Womens Health Across the Nation (SWAN): Visit 03 Dataset, [United States], 1999-2001 Women age 40 through 55, living in designated geographic areas, with the ability to speak English or other designated languages (Japanese, Cantonese, or Spanish), who had the cognitive ability to provide verbal informed consent, and had membership in a specific site's targeted ethnic group. Smallest Geographic Unit: None Site-specific sampling frames were used and encompassed a range of types, including lists of households, telephone numbers, and individual names of women. 2019-05-29 This data collection has been enhanced in the following ways. The title of the study was updated to match current ICPSR standards. Variable labels have been revised to spell out abbreviations and acronyms, and to correct prior misspellings. The variables in the dataset have also been reordered to match the documentation provided by the Principal Investigator. A fuller version of the question text pertaining to individual variables was completed, and now available in the ICPSR codebook. An additional document was included in this release that lists all the publications based off of the SWAN data series. Lastly, the study is now available for online analysis.2018-08-22 The data were updated to adjust missing values.2014-02-12 This data collection is now publicly available. Funding institution(s): United States Department of Health and Human Services. National Institutes of Health (NR004061). United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (AG012495, AG012505, AG012539, AG012546, AG012553, AG012554). United States Department of Health and Human Services. National Institutes of Health. National Institute of Nursing Research (AG012535). United States Department of Health and Human Services. National Institutes of Health. Office of Research on Women's Health (AG012531). face-to-face interview self-enumerated questionnaire