Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 6,630.000 USD in 2017. This records an increase from the previous number of 6,390.000 USD for 2016. Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 1,250.000 USD from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 6,630.000 USD in 2017 and a record low of 220.000 USD in 1962. Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included: - Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.- Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.- Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.- Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung. Tables in ZA-Online-Database HISTAT: A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th centuryA.1 The average earned income per annum by industrial sector (1850-1959)A.2 The average earned income per annum in mining and saline (1850-1959)A.3 The average earned income per annum in industry and craft (1850-1959)A.4 The average earned income per annum in transport (1850-1959)A.5 The average earned income per annum in other services (1850-1959)A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959)A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959)A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959) B. Hohls, Rüdiger: The Sectoral Structure of Earnings in GermanyB.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940 C. Living costs, prices and earnings, consumer price indexC.1 Development of living costs (index) of medium employees’ households (1924-1978)C.2 Preices and earnings, index 1962 = 100 (1820-2001)C.3 Living costs, consumer price index (1820-2001) D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913.D.1 Income of selected white collar categories in Mark (1880-1913)D.2 Real income of selected white collar categories (1880-1913) E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany.E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978)E.2 Development of real gross income of blue collar workers in industry (1925-1978)E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939)E.5 National income: monthly income from dependent personal services per employee (1925-1971)E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

Timeseries of the Period 1945 – 2001 about the topics - economic structure, economic cycles, business developmet, - production, - services, - labour market, - prices, consumption and income of Vienna.

The aim was to cover the entire period under report with timeseries-data. Because of the absence of data or serious fractions of some timeseries this goal could not always be attained.

Topics:

Data-Tables in HISTAT:

A Economic structure, economic cycles, business development

A.1.01.a Development of nominal gross-urban-product by industrial sector at market prices 1961-1992 A.1.01.b Development of nominal gross-urban-product by ÖNACE-sections (= austrian nomenclature of economic activities) at market prices 1988-1997 A.1.01.c Development of nominal gruss-urban-product by ÖNACE-sections at cost prices 1995-1998 A.1.02 Workplaces (business companies) by economic classes 1954-1991 A.1.03 Workplaces and employees by industrial sector and urban district 1959-1991 A.1.04 Enterprises in the commercial economy of Vienna 1963-2000 A.1.05 Members of Vienna’s chamber of commerce 1955-2000 A.1.06 Stock corporations based in Vienna 1967-1995 A.1.07 Settlement of companies in Vienna aided by the businessdevelopment-fond 1982-2000 A.1.08.a Insolvencies 1966-1994 A.1.08.b Insolvencies 1995-2000

B Production

B.2.01.a Gross-production-values of industry by industrial sectors 1955-1994 B.2.01.b Production-values of industry by sort of production 1995-2000 B.2.02 Index of Vienna’s industrial production 1969-2000 B.2.03 Electricity production and distribution 1946-2000 B.2.04.a Gas distribution system 1946-2000 B.2.04.b Gas consumption 1946-2000

C Services

C.3.01 Salesindices of wholsale 1973-1998 C.3.02 Salesindices of retailing 1973-1998 C.3.03 Turnover potential of Vienna’s main shopping streets 1970-1998 C.3.04 Market supply at Viktualien 1945-2000 C.3.05 Tabacco sales 1946-2000 C.3.06 Credit institutions 1967-2000 C.3.07 Visitors’ overnight stays 1948-2000 C.3.08 Arrival of visitors 1948-2000

D Labour market

D.4.01 Working population by urban districts and industrial sectors 1954-1991 D.4.02 Commuter-Matrix 1955-1991 D.4.03 Commuter, driving into the city to their workplace (assured at Vienna’s Area Health Insurance Company (“Wiener Gebietskrankenkasse”)) 1986-2000 D.4.04 Changes of the labour supply (Components and their constituent parts) 1971-1991 D.4.05.a1 Employment market, employee 1946-1986 D.4.05.a2 Employment market, registered unemployed 1946-1986 D.4.05.a3 Employment market, Indizes 1946-1986
D.4.05.b1 Employment market, employee and registered unemployed 1987-2000 D.4.05.b2 Employment market, Indizes 1987-2000 D.4.06 Employees by industrial sectors 1955-2000 D.4.07 Employees by nationality 1972-2000 D.4.08.a Mobility: jearly average of standard employment by economic sectors 1972-2000 D.4.08.b Mobility: Leavings from standard emploument by economic sectors 1972-2000 D.4.08.c Mobility-index of standard employment by economic sectors 1972-2000 D.4.09.a Registered unemployed ba age-groups 1960-1986 D.4.09.b Registered unemployed by age-groups 1987-2000 D.4.10 Registered unemployed by duration of registration 1969-1986 D.4.11 Registered unemployed by age-group and duration of registration 1969-1982 D.4.12.a Registered unemployed, male, by age-group and duration of registration, 1987-2000 D.4.12.b Registered unemployed, female, by age-group and duration of registration, 1987-2000 D.4.12.c Total registered unemployed, by age-group and duration of registration, 1987-2000 D.4.13 Registered unemployed by highest education 1987-2000 D.4.14 Unemployment rate by sex and nationality 1991-2000 D.4.15 Unionists 1946-2000

E Preice, consumption and income

E.5.01 Consumer-price-index (linked Indices) 1945-2000 E.5.02 Consumer-price-index by consume groups 1948-2000 E.5.03 Wholesale price indices 1947-2000 E.5.04 Building costs indices of domestic buildings 1946-2000 E.5.05 Average prices of selected goods and services 1948-2000

E.5.07.a Gross median income of employee 1962-2000 E.5.07.b Gross median income of employee (relations) 1962-2000 E.5.8.a Quartiles of income, totally 1962-2000 E.5.8.b Quartiles of income, male 1962-2000 E.5.8.c Quartiles of income, female 1962-2000 E.5.9 Earnings and income in industry, business and trade 1962-1999

Venezuela VE: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 12,780.000 USD in 2014. This records an increase from the previous number of 11,760.000 USD for 2013. Venezuela VE: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 3,230.000 USD from Dec 1962 (Median) to 2014, with 53 observations. The data reached an all-time high of 12,780.000 USD in 2014 and a record low of 920.000 USD in 1966. Venezuela VE: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included:

• Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.
• Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.
• Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.
• Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung.

Tables in ZA-Online-Database HISTAT:

A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th century A.1 The average earned income per annum by industrial sector (1850-1959) A.2 The average earned income per annum in mining and saline (1850-1959) A.3 The average earned income per annum in industry and craft (1850-1959) A.4 The average earned income per annum in transport (1850-1959) A.5 The average earned income per annum in other services (1850-1959) A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959) A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959) A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959)

B. Hohls, Rüdiger: The Sectoral Structure of Earnings in Germany B.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985 B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940

C. Living costs, prices and earnings, consumer price index C.1 Development of living costs (index) of medium employees’ households (1924-1978) C.2 Preices and earnings, index 1962 = 100 (1820-2001) C.3 Living costs, consumer price index (1820-2001)

D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913. D.1 Income of selected white collar categories in Mark (1880-1913) D.2 Real income of selected white collar categories (1880-1913)

E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany. E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978) E.2 Development of real gross income of blue collar workers in industry (1925-1978) E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939) E.5 National income: monthly income from dependent personal services per employee (1925-1971) E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

This study contains selected demographic, social, economic, public policy, and political comparative data for Switzerland, Canada, France, and Mexico for the decades of 1900-1960. Each dataset presents comparable data at the province or district level for each decade in the period. Various derived measures, such as percentages, ratios, and indices, constitute the bulk of these datasets. Data for Switzerland contain information for all cantons for each decennial year from 1900 to 1960. Variables describe population characteristics, such as the age of men and women, county and commune of origin, ratio of foreigners to Swiss, percentage of the population from other countries such as Germany, Austria and Lichtenstein, Italy, and France, the percentage of the population that were Protestants, Catholics, and Jews, births, deaths, infant mortality rates, persons per household, population density, the percentage of urban and agricultural population, marital status, marriages, divorces, professions, factory workers, and primary, secondary, and university students. Economic variables provide information on the number of corporations, factory workers, economic status, cultivated land, taxation and tax revenues, canton revenues and expenditures, federal subsidies, bankruptcies, bank account deposits, and taxable assets. Additional variables provide political information, such as national referenda returns, party votes cast in National Council elections, and seats in the cantonal legislature held by political groups such as the Peasants, Socialists, Democrats, Catholics, Radicals, and others. Data for Canada provide information for all provinces for the decades 1900-1960 on population characteristics, such as national origin, the net internal migration per 1,000 of native population, population density per square mile, the percentage of owner-occupied dwellings, the percentage of urban population, the percentage of change in population from preceding censuses, the percentage of illiterate population aged 5 years and older, and the median years of schooling. Economic variables provide information on per capita personal income, total provincial revenue and expenditure per capita, the percentage of the labor force employed in manufacturing and in agriculture, the average number of employees per manufacturing establishment, assessed value of real property per capita, the average number of acres per farm, highway and rural road mileage, transportation and communication, the number of telephones per 100 population, and the number of motor vehicles registered per 1,000 population. Additional variables on elections and votes are supplied as well. Data for France provide information for all departements for all legislative elections since 1936, the two presidential elections of 1965 and 1969, and several referenda held in the period since 1958. Social and economic data are provided for the years 1946, 1954, and 1962, while various policy data are presented for the period 1959-1962. Variables provide information on population characteristics, such as the percentages of population by age group, foreign-born, bachelors aged 20 to 59, divorced men aged 25 and older, elementary school students in private schools, elementary school students per million population from 1966 to 1967, the number of persons in household in 1962, infant mortality rates per million births, and the number of priests per 10,000 population in 1946. Economic variables focus on the Gross National Product (GNP), the revenue per capita per household, personal income per capita, income tax, the percentage of active population in industry, construction and public works, transportation, hotels, public administration, and other jobs, the percentage of skilled and unskilled industrial workers, the number of doctors per 10,000 population, the number of agricultural cooperatives in 1946, the average hectares per farm, the percentage of farms cultivated by the owner, tenants, and sharecroppers, the number of workhorses, cows, and oxen per 100 hectares of farmland in 1946, and the percentages of automobiles per 1,000 population, radios per 100 homes, and cinema seats per 1,000 population. Data are also provided on the percentage of Communists (PCF), Socialists, Radical Socialists, Conservatives, Gaullists, Moderates, Poujadists, Independents, Turnouts, and other political groups and p

Belize BZ: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 7,190.000 USD in 2023. This records an increase from the previous number of 6,630.000 USD for 2022. Belize BZ: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 3,745.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 7,190.000 USD in 2023 and a record low of 330.000 USD in 1962. Belize BZ: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belize – Table BZ.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;