The Division of Vital Records of the Maryland Department of Health and Mental Hygiene issues certified copies of birth, death, fetal death, and marriage certificates for events that occur in Maryland. The Division also provides divorce verifications. The Division provides information on procedures to follow for registering an adoption, legitimation, or an adjudication of paternity. Maryland Age-Adjusted All-Cause Mortality Rate, 2010-2012. *Age-adjusted to the 2000 U.S. standard population. Rate per 100,000.

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. The Division of Vital Records of the Maryland Department of Health and Mental Hygiene issues certified copies of birth - death - fetal death - and marriage certificates for events that occur in Maryland. The Division also provides divorce verifications. The Division provides information on procedures to follow for registering an adoption - legitimation - or an adjudication of paternity. Maryland Age-Adjusted All-Cause Mortality Rate - 2010-2012. *Age-adjusted to the 2000 U.S. standard population. Rate per 100 - 000 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Health/MD_VitalStatistics/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The Division of Vital Records of the Maryland Department of Health and Mental Hygiene issues certified copies of birth, death, fetal death, and marriage certificates for events that occur in Maryland. The Division also provides divorce verifications. The Division provides information on procedures to follow for registering an adoption, legitimation, or an adjudication of paternity. Maryland Age-Adjusted All-Cause Mortality Rate, 2010-2012. *Age-adjusted to the 2000 U.S. standard population. Rate per 100,000Last Updated: UnknownThis is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Health/MD_VitalStatistics/FeatureServer/0

Adjusted proportional regression (* PR) ratios for (a) deaths in hospice (b) deaths at hospital (c) deaths in own residence, and (d) deaths in communal establishment versus all other locations for the period 2001–2006: Adjusted for sex, age, year, marital status, IMD quintile, and all cancer causes.

Long time series of Vienna’s population history from 1700 to 1999. With this study the author A. Weigl submits the first detailed report on the population history of Vienna over the period from the late mediaevial time until the 20th century. The author documents by means of the development of migration, reproduction and mortality the process of Vienna’s population history. Important influencing factors as for excample food pattern, plagues and epidemics, medical advance, the change of mentalities and influences by demographic policies are discussed in detail. The significant role of modenization-processes is in the focus of the publication. By means of numerous long time series data the pecesses are documented empirically. Content of the Study: - Demographic Change and Modernization - Main Features of Vienna’s Population Development - Migration: The Impetus for an Increasing Town - Mortality: From Town Refurbishment to Municipal Welfare Policy - Fertility: The Genesis of the Modern Family - The Common Modernizationcontext of Transition List of Data-Tables in the GESIS-ZA-Online-Database HISTAT: A. Population Development of Vienna A.01 Population (1200-1999) A.02 Population Development by Territory as of Today (1590-1999) A.03 Regional Population Development (1700-1991) A.04 Population Movement (1869-1991) A.05 Agestructure (1856-1991) A.06 Population Development of the City, the suburbs and the periphery (1777-1857) A.07 Population by Urban Districts by Territory as of Today (1777-1991) A.08 Population by Urban Districts (1869-1939) A.09 Native Birth of the Population (1856-1934) A.10 Natural Population Movement (1707-1999) A.11 Proportion of Persons Younger than 14 Years by Urban Districts (1869-1939) A.12 Proportion of Persons in the Age of 60 and older by Urban Districts (1869-1939) A.13 Population and Birth Rates by Religious Denomination (1856-1939) B. Migration B.01 Ratios of Mobility-Transition (1710-1991) B.02 Acceptation of new Members into the Homeland Association (Naturalizations) (1919-1938) C. Mortality C.01 Age specific Mortality-Rates of Vienna (1856-1939) C.02 Age standardized Morality-Rates by Sex and by Causes of Death (1910-1935) C.03 Cholera-Mortality by Urnab Districts (1831-1873) C.04 Variola-Mortality (1728-1938) C.05 Average Life Expectancy (1830-1998) C.06a Age-Specific Mortality: Mortality Rates (1650-1999) C.06b Age-Specific Mortality: Agestructure of the Deceased (1650-1999) C.07a Infant Mortality (1728-1999) C.07b Infant Mortality Rate by Territory as of Today (1871-1938) C.08 Mortality Rates by Urban Districts (1871-1938) C.09 Infant Mortality by Urban Districts (1885-1911) C.10 Pulmonary Tuberculosis-Mortality by Urban Districts (1871-1938) D. Fertiliy D.01 General Fertility-Rate of Vienna (1856-1939) D.02 Fertility-Rate (1754-1999) D.03 Fertility-Indizes by Metropolitan Comparison (1910-1960) D.04 Illegitimacy-Rates (1797-1999) D.05 Marriage Rate, Birthrate and Deathrate (1706-1938) D.06 Marriage-, Mortality- and Infant Mortality Rate by Territory as of Today (1871-1938) D.07 Birth Rate by Urban Districts (1783-1938) E. Housholds E.01 Average Householdsize (1780-1991)

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

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Sources: Official Statistics: Population-Census-data, police registration, information of the civil registry office, civil status registration of the finance office, medical profession’s statistics of the medical association, administration statistics of magistrate departement 15 (departement of tuberculosis abatement), annual report of Vienna’s hospitals, containment measurement of magistrate departement 22, information about household refuse and potential recyclable of magistrate departement 48. Additional: Microcensus.

Time series of the period 1945 to 2001 about the topics population, health-system and environment of Vienna. The emphasis of the time series are the demographic data, devided into the sections population structure and population movement. It was attempted to cover the whole period from 1945 to 2001 with statistical information. In the field of environmental statistics this aim could not be achieved. First data were collected in the late 60ies. Population-census results of March, the 15th 2001 were accounted for, as far as available. Topics: List of Tables in the GESIS-ZA-Online-Database HISTAT: A. Population Structure A. 1.01 Population Updating 1945-2001 A. 1.02 Population Updating by Urban Districts 1982-2001 A. 1.03 Population Development by Urban Districts 1951-2001 A. 1.04 Development of Citizen’s Number by Urban Districts 1951-2001 A. 1.05 Results of Civil Status Registration 1967-1987 A. 1.06 Age- and Sexdistribution 1951-2001 A. 1.06.a Age- and Sexdistribution (measured values) 1951-2001 A. 1.06.b Age- and Sexdistribution (mean age) 1951-2001 A. 1.07. Age- and Sexspecific Family Status Quotas 1951-2001 A. 1.07.a Age- and Sexspecific Family Status Quotas (male) 1951-2001 A. 1.07.b Age- and Sexspecific Family Status Quotas (female) 1951-2001 A. 1.08 Foreign Persons by Nationality 1947-2001 A. 1.09 Native Birth of the Resident Population 1951-2001 A. 1.10 Resident Population beyond 15 Years by highest graduation 1951-1991 A. 1.11 Resident Population by Denomination A. 1.11.a Resident Population by Denomination 1951-2001 A. 1.11.b Resident Population by Denomination and by Urban Districts 1951-2001 A. 1.12 Resident Population by Means of Subsistence 1951-1991 A. 1.13 Employed Persons by Occupational Status and the Social Economical Classification respectively and by Sex 1951-1991 A. 1.13.a Employed Persons by Occupational Status and by Sex 1951-1991 A. 1.13.b Employed Persons by Social Economical Classification and by Sex 1951-1991 A. 1.14 Household-type and -size 1951-2001 A. 1.15 Family by Familytype and Number of Children 1971-1991 B. Population Movement B. 2.01 Natural Population Movement 1945-2001 B. 2.02 Ratios of Birth, Fertility and Infant Mortality 1945-2001 B. 2.03 Age-specific Fertilityratios 1951-2001 B. 2.04 Age-specific Fertilityratios by legitimacy 1951-2001 B. 2.05 Marriage Indicators 1945-2001 B. 2.06 Divorce Indicators 1945-2001 B. 2.07 Mortality and Life Expectancy 1945-2001 B. 2.07.a Mortality 1945-2001 B. 2.07.b Life Expectancy 1945-2001 B. 2.08 Flows of Migration 1946-2001 B. 2.09 Flows of Migration by Denomination 1992-2001 B. 2.10 Migration Biographies of Austrian Residential Population 1961-1988: Vienna’s Flows of Migration B. 2.10.a Migration Biographies of Austrian Residential Population 1961-1988: Internal Migration B. 2.10.b Migration Biographies of Austrian Residential Population 1961-1988: Migration Balance B. 2.11 Directionspecific Flows of Migration 1986-2001 B. 2.11.a Directionspecific Flows of Migration 1986-2001: to move from … to Vienna. B. 2.11.b Directionspecific Flows of Migration 1986-2001: to move from Vienna to … . B. 2.11.c Directionspecific Flows of Migration 1986-2001: Migration Balance B. 2.12 Residential Mobility at the Period of 5 Years before the Censuses 1961-1991 B. 2.13 Population Balance by Territory as of Today 1934-2001 B. 2.14 Naturalizations of Vienna’s Resident Population 1945-2001 C. Health System C. 3.01 Statistics of Hospitals 1946-2000 C. 3.02 Physicians and Dentists 1946-2001 C. 3.03 Incidences with Tuberculosis 1946-2001 C. 3.04 Causes of Death 1946-2001 C. 3.05 Age Standardized Mortality Rate by Causes of Death C. 3.05.a Annual Age Standardized Mortality Rate and their Rate of Change to the Previous Year 1980-2001 C. 3.05.b Average Age Standardized Mortality Rate for 5-Year-Periods 1980/84-2000/2001 D. Environment D. 4.01 Environmental Conditions of Habitation D. 4.01.a Impairement of Habitation caused by Noise Annoyance 1970-1998 D. 4.01.b Sources of Noice 1970-1998 D. 4.01.c Impairement of Habitation caused by Off Odours 1973-1998 D. 4.01.d Sources of Off Odours 1973-1998 D. 4.02 Amount of Rubbish and Potential Recyclable Rubbish (waste paper, glass for recycling, etc.) D. 4.02.a Amount of Rubbish 1969-2001 D. 4.02.b Potential Recyclable Rubbish 1977-2001 D. 4.03 Air Quality 1988-2001 D. 4.04 Green Space in Vienna 1988-1997 Zeitreihen für die Periode 1945-2001 zu den Themen Bevölkerung, Gesundheitswesen und Umwelt der Stadt Wien. Der Schwerpunkt der Zeitreihen liegt auf den demographischen Daten, die in die Abschnitte Bevölkerungsstruktur und Bevölkerungsbewegung unterteilt wurden. Es wurde versucht, möglichst den gesamten Zeitabschnitt mit statistischen Reihen abzudecken. Im Bereich der Umweltstatistik war das allerdings auf Grund des erst seit dem in den späten 1960er Jahren erwachten Interesses der Öffentlichkeit an Umweltfragen nur bedingt möglich. Ergebnisse der Volkszählung vom 15. Mai 2001 wurden, soweit sie bei Redaktionsschluss bereits verfügbar waren, berücksichtigt. Themen: Verzeichnis der Tabellen in der GESIS-ZA-Online-Datenbank HISTAT: A. Bevölkerungsstruktur A. 1.01 Bevölkerungsfortschreibung 1945-2001 A. 1.02 Bevölkerungsfortschreibung nach Bezirken 1982-2001 A. 1.03 Bevölkerungsentwicklung nach Bezirken 1951-2001 A. 1.04 Entwicklung der Bürgerzahl nach Bezirken 1951-2001 A. 1.05 Ergebnisse der Personenstandsaufnahmen 1967-1987 A. 1.06 Alters- und Geschlechtsstruktur 1951-2001 A. 1.06.a Alters- und Geschlechtsstruktur (Relativ- und Maßzahlen) 1951-2001 A. 1.06.b Alters- und Geschlechtsstruktur (Durchschnittsalter) 1951-2001 A. 1.07. Alters- und geschlechtsspezifische Familienstandsquoten 1951-2001 A. 1.07.a Alters- und geschlechtsspezifische Familienstandsquoten (männlich) 1951-2001 A. 1.07.b Alters- und geschlechtsspezifische Familienstandsquoten (weiblich) 1951-2001 A. 1.08 AusländerInnen nach ausgewählten Staatsangehörigkeiten 1947-2001 A. 1.09 Gebürtigkeit der Wohnbevölkerung 1951-2001 A. 1.10 Wohnbevölkerung über 15 Jahre nach höchster abgeschlossener Ausbildung 1951-1991 A. 1.11 Wohnbevölkerung nach dem Religionsbekenntnis A. 1.11.a Wohnbevölkerung nach dem Religionsbekenntnis 1951-2001 A. 1.11.b Wohnbevölkerung nach dem Religionsbekenntnis und Bezirken 1951-2001 A. 1.12 Wohnbevölkerung nach Lebensunterhalt 1951-1991 A. 1.13 Berufstätige nach der Stellung im Beruf bzw. der sozioökonomischen Gliederung und Geschlecht 1951-1991 A. 1.13.a Berufstätige nach der Stellung im Beruf und Geschlecht 1951-1991 A. 1.13.b Berufstätige nach der sozioökonomischen Gliederung und Geschlecht 1951-1991 A. 1.14 Haushalte nach Haushaltstyp und -größe 1951-2001 A. 1.15 Familien nach Familientyp und Kinderzahl 1971-1991 B. Bevölkerungsbewegung B. 2.01 Natürliche Bevölkerungsbewegung 1945-2001 B. 2.02 Kennziffern zu Geburten, Fertilität und Säuglingssterblichkeit 1945-2001 B. 2.03 Altersspezifische Fertilitätsziffern 1951-2001 B. 2.04 Altersspezifische Fertilitätsziffern nach Legitimität 1951-2001 B. 2.05 Eheschließungsindikatoren 1945-2001 B. 2.06 Ehescheidungsindikatoren 1945-2001 B. 2.07 Mortalität und Lebenserwartung 1945-2001 B. 2.07.a Mortalität 1945-2001 B. 2.07.b Lebenserwartung 1945-2001 B. 2.08 Wanderungsströme 1946-2001 B. 2.09 Wanderungsströme nach Staatsangehörigkeit 1992-2001 B. 2.10 Wanderungsbiografien der österreichischen Wohnbevölkerung 1988: Wanderungsströme Wiens B. 2.10.a Wanderungsbiografien der österreichischen Wohnbevölkerung 1988: Binnenwanderung B. 2.10.b Wanderungsbiografien der österreichischen Wohnbevölkerung 1961-1988: Wanderungsbilanz B. 2.11 Richtungsspezifische Wanderungsströme 1986-2001 B. 2.11.a Richtungsspezifische Wanderungsströme 1986-2001 (Zuzüge von … nach Wien) B. 2.11.b Richtungsspezifische Wanderungsströme 1986-2001 (Wegzüge aus Wien nach …) B. 2.11.c Richtungsspezifische Wanderungsströme 1986-2001 (Wanderungsbilanz) B. 2.12 Wohnmobilität im Zeitraum von 5 Jahren vor den Volkszählungen 1961-1991 B. 2.13 Bevölkerungsbilanz nach dem heutigen Gebietsstand 1934-2001 B. 2.14 Einbürgerungen der Wiener Wohnbevölkerung 1945-2001 C. Gesundheitswesen C. 3.01 Krankenanstaltenstatistik 1946-2000 C. 3.02 ÄrztInnen und DentistInnen 1946-2001 C. 3.03 Neuerkrankungen an aktiver Tuberkulose 1946-2001 C. 3.04 Todesursachen 1946-2001 C. 3.05 Altersstandardisierte Sterblichkeitsentwicklung nach Todesursachengruppen C. 3.05.a Jährliche altersstandardisierte Sterbeziffern und deren Veränderungsraten zum Vorjahr 1980-2001 C. 3.05.b Durchschnittliche altersstandardisierte Sterbeziffern für 5-Jahresperioden 1980/84-2000/2001 D. Umwelt D. 4.01 Umweltbedingungen des Wohnens D. 4.01.a Beeinträchtigung des Wohnens durch Lärmstörung 1970-1998 D. 4.01.b Lärmquellen 1970-1998 D. 4.01.c Beeinträchtigung des Wohnens durch Geruchsbelästigung 1973-1998 D. 4.01.d Geruchsquellen 1973-1998 D. 4.02 Müllaufkommen und spezifischer Müllanfall D. 4.02.a Müllaufkommen 1969-2001 D. 4.02.b Altstoffe 1977-2001 D. 4.03 Luftqualität 1988-2001 D. 4.04 Grünflächen 1988-1997 Sources: Official Statistics: Population-Census-data, police registration, information of the civil registry office, civil status registration of the finance office, medical profession’s statistics of the medical association, administration statistics of magistrate departement 15 (departement of tuberculosis abatement), annual report of Vienna’s hospitals, containment measurement of magistrate departement 22, information about household refuse and potential recyclable of magistrate departement 48. Additional: Microcensus. Quellen: Amtliche Statistiken: Volkszählungen, polizeiliches Meldewesen, Standesamtsmeldungen, Personenstandsaufnahmen der Finanzämter, Ärztestatistik der Ärztekammer, Verwaltungsstatistik der Magistratsabteilung 15 (Referat für Tuberkulosebekämpfung), Jahresmeldungen der Wiener Krankenanstalten, Schadstoffmessungen der Magistratsabteilung 22, Daten

Adjusted mortality rate ratios (MRR) and 95% confidence intervals (CIs) for total mortality associated with unmarried vs. married patients, by race/ethnicity, tumor subtype, neighborhood socioeconomic status (SES), nativity, and Asian/Pacific Islander (API) subgroups, California, 2005–2012.

aHazard ratios and 95% confidence interval were estimated for per 50 mg/dL increment in postload glucose levels at 1 hour after a 50 gram glucose load for the overall and the between-pair effects; or per 50 mg/dL difference between co-twins for the within-pair effects. Frailty survival models were used to obtain the estimates to account for clustering within a pair. Fully adjusted hazard ratios were controlled for age (continuous), smoking (never, past smokers, and current smokers), marital status (never, not married currently, and married currently), years of education (continuous), body mass index (continuous), systolic blood pressure (continuous), low-density lipoprotein cholesterol (continuous), ratio of high density lipoprotein cholesterol to triglyceride (continuous), and antihypertensives (yes/no).bInteraction between within-pair effects and zygosity was tested in the fully adjusted model.

BackgroundDespite universal healthcare, socioeconomic differences in healthcare utilization (HCU) persist in modern welfare states. However, little is known of how HCU inequalities has developed over time. The aim of this study is to assess time trends of differences in utilization of primary and specialized care for the lowest (Q1) and highest (Q5) income quantiles and compare these to mortality.Methods and findingsUsing a repeated cross-sectional register-based study design, data on utilization of (i) primary; (ii) specialized outpatient; and (iii) inpatient care, as well as (iv) cause of death, were linked to family income and sociodemographic control variables (for instance, country of origin and marital status). The study sample comprised all individuals 16 years or older residing in Sweden any year during the study period and ranged from 7.1 million in year 2004 to 8.0 million year 2017. HCU and mortality for all disease as well as for the 5 disease groups causing most deaths were compared for the Q1 and Q5 using logistic regression, adjusting for sex, age, marital status, and birth country. The primary outcome measures were adjusted odds ratios (ORs), and regression coefficients of annual changes in these ORs log-transformed. Additionally, we conducted negative binominal regression to calculate adjusted rate ratios (RRs) comparing Q1 and Q5 with regard to number of disease specific healthcare encounters ≤5 years prior to death.In 2017, for all diseases combined, Q1 utilized marginally more primary and specialized outpatient care than Q5 (OR 1.07, 95% CI [1.07, 1.08]; p < 0.001, and OR 1.04, 95% CI [1.04, 1.05]; p < 0.001, respectively), and considerably more inpatient care (OR 1.44, 95% CI [1.43, 1.45]; p < 0.001). The largest relative inequality was observed for mortality (OR 1.78, 95% CI [1.74, 1.82]; p < 0.001). This pattern was broadly reproduced for each of the 5 disease groups.Time trends in HCU inequality varied by level of care. Each year, Q1 (versus Q5) used more inpatient care and suffered increasing mortality rates. However, utilization of primary and specialized outpatient care increased more among Q5 than in Q1.Finally, group differences in number of healthcare encounters ≤5 years prior to death demonstrated a similar pattern. For each disease group, primary and outpatient care encounters were fewer in Q1 than in Q5, while inpatient encounters were similar or higher in Q1.A main limitation of this study is the absence of data on self-reported need for care, which impedes quantifications of HCU inequalities each year.ConclusionsIncome-related differences in the utilization of primary and specialized outpatient care were considerably smaller than for mortality, and this discrepancy widened with time. Facilitating motivated use of primary and outpatient care among low-income groups could help mitigate the growing health inequalities.

Colorectal cancer survival rates according to geographic region, racial classification and marital status in Brazil between 2000 and 2019 using Cox regression univariate analyses, in relation to the largest category of mortality.

(Since socioeconomic data were available only for fully survived calendar years, dates of death are projected to the previous year, hence rendering systematic underestimation of true age of death). (XLSX)