Graph and download economic data for Total Gross Domestic Product for Cleveland-Elyria, OH (MSA) (NGMP17460) from 2001 to 2023 about Cleveland, OH, industry, GDP, and USA.

In 2022, the Gross Domestic Product (GDP) of the St. Louis metropolitan area amounted to roughly 178.66 billion chained 2017 U.S. dollars. This was an increase from the previous year, when the GDP of St. Louis amounted to about 175.04 billion chained 2017 U.S. dollars.

Greater St. Louis is the common name of the St. Louis-St. Charles, MO-IL CSA, also known as Metro St. Louis. Greater St. Louis is the 21st largest MSA, with a population around 2.8 million inhabitants.

This graph shows the GDP of the San Francisco Bay Area in 2022, by industry. In 2022, the GDP of the San Francisco metro area amounted to about 654.73 billion U.S. dollars. About 68.02 billion U.S. dollars were generated in the manufacturing industries. The overall quarterly GDP growth in the United States can be found here. The San Francisco Bay Area’s GDP The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, 101 cities, and 7,000 square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. The United States Census Bureau considers the Bay Area a Combined Statistical Area (CSA) with approximately 7.4 million people, including the nine counties bordering San Francisco Bay as well as Santa Cruz and San Benito Counties, making it the sixth largest CSA in the United States.

In the ten year period between 2001 and 2011, the Bay Area saw its GDP grow considerably. In 2001, GDP was 239 billion U.S. dollars. This value rose to 347 billion U.S. dollars by 2011. Additionally, California ranked first on a list of U.S. states by GDP, with two trillion U.S. dollars of GDP in 2012. Silicon Valley, located in the Bay Area, is in great part responsible for the Bay Area’s and California’s high GDPs, as it is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there.

This statistic shows the share of economic sectors in the gross domestic product (GDP) in Ethiopia from 2013 to 2023. In 2023, the share of agriculture in Ethiopia's gross domestic product was 35.79 percent, industry contributed approximately 24.48 percent and the services sector contributed about 36.98 percent.

Abstract

Data on Distributive and Service Trade is required for a variety of puroses. One of the most important is, to provide a basis for assessing trends in the economy, i.e. to examine changes in sectoral distribution and the growth of the sector itself. For this purpose, annual and more frequent survey estimates on the contribution of this sector to the national economy and the growth of the sector is crucial. More specifically, sales of goods and services within the sector, to producers/agriculture and industry and final consumers; changes in stocks, fixed capital formation /capital investment/ and wages and salaries earned in the sector would provide useful indicators on the activity, structural distribution and trends of the sector. Comprehensive data on Distributive and Service Trade broken down by activity is required in building up indexes of wholesale and retail trades, which are important indicators of business activity.

The Distributive and Service Trade Enterprise Survey was conducted to: i) Obtain information on the number and geographic distribution (i.e. at major regional capitals and other urban level) of distributove and service trade enterprise, ii) Assess the share of this sector on the economic situation of towns/cities, iii) Estimate the number of persons engaged in this sector, iv) Obtain data on the type and flow of goods and services in order to allow policy information or policy change to strengthen the sector, v) To get estimates on the contribution of the distributive trade and services to gross domestic product (GDP), vi) To make comparison with baseline survey of Distributive and Service Trade, vii) Obtain estimates of the values of the sector in terms of various economic measures (i.e. gross value of income, value added, operating surplus, investment, etc...), viii) To ger information on the effects of the existing economix policies on this sector, ix) Obtain data on the makor problems and constraints faced by the owners of enterprises/establishments in the sector, and x) Obtain data that could be helpful in formulating socio-economic plans and programmes.

Geographic coverage

The survey covered only urban parts of the country. Eleven regional capitals (including Addis Ababa and Dire Dawa), four major urban centers and seventy-three other selected urban centers were included in the survey.

Analysis unit

Enterprise (Distributive and Service Trade)

Universe

The Distributive and Service Trade Survey is confined in selected urban parts of the country.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design For the purpose of the survey, taking in to account of their population and expected distribution of trade and service enterprise, urban areas of the country were divided in to the following two broad categories.

Category I: Eleven regional capitals and four major urban centers of the country were grouped in this category. Each of them is considered to be the survey domain (reporting level) for which separate results for major survey characterstics were reported.

A two-stage stratified cluster sample design was used to select the sample in which the primary sampling units (PSUs) were enumeration areas (EAs). Sampling units from each domain were selected using systematic probability proportional to size; size being number of trade enterprise obtained from the 1994 Population and Housing Census. For each sampled EA a fresh list of housing units was prepared to identify trade enterprises eligible for the survey. Enterprises were further classified in to three groups,, namely, wholesale trade, retail trade and service enterprises. All wholesale trade enterprises found in the sampled EAs were covered by the survey. On the other hand in those EAs where the number of retail trade and service enterprises found were less or equal to 30, all of them were covered by the survey. However, if the number of retail trade and service enterprises of an EA exceeded 30, the survey questionnaire was administered only for 30 of them.

Category II: This category consists of eight domains (reporting levels) of urban centers that are not included in the first category, namely, i) Tigray othr urban ii) Afar other urban iii) Amhara other urban iv) Oromia other urban v) Somali other urban vi) Benishangul-Gumuz other urban vii) SNNPR other urban viii) Gambella other urban

A three- stage stratified cluster sample design was adopted to select the sample from domains in category II. The PSUs were urban centers selected using systematic probability proportional to size; size being number of trade enterprises obtained from the 1994 Population and Housing Census. The secondary sampling units were EAs that were selected using systematic probability proportional to size; size being number of trade enterprises prepared at the begining of the survey's fieldwork. Every wholesale trade, all retail trade and service enterprises (in EAs where the number of retail trade and service enterprises found is less or equal to 30) and only 30 systematically sampled retail trade and service enterprise (from the listing of each EA that have more than 30 retail trade and service enterprises) were considered lastly and the survey questionnaire administered only to them.

Besides, required samples for Harari, Dir Dawa and Addis Ababa are entirely selected from Harar, Dire Dawa and Addis Ababa urban centers, respectively. Therefore, excluding these regions eight additional domains (reporting levels for the entire region) could be defined by merging domains of the above two categories. They were, a) Urban Tigray b) Urban Afar c) Urban Amhara d) Urban Oromia e) Urban Somali f) Urban Benishangul-Gumuz g) Urban SNNP h) Urban Gambella

Including country level (total urban) all in all thirty-two domains were defined fro the survey.

Mode of data collection

Face-to-face [f2f]

Research instrument

The Urban Distributive and Service Trade Establishments Survey questionnaire contains the following section (parts):

Section 1: Identification particulars of the distributive/service trade establishment : This section has variables that use to identify each questionnaire uniquely.

Section 2: Basic information of the establishment: This section contains variables that have basic information about the establishments like, type of sector, type of ownership, number of owners by sex, aabout the establishment's book of accounts, etc...

Section 3.1: Number of persons engaged during the year: This section contains questions that are related to establishments employees number by employment status.

Section 3.2: Wages, salary and other employee benefits paid in Birr: This section contains questions related to employees wages, salary, and other employees benefits paid by employment status.

Section 3.3: Number of permanent employees at the end of the year by salary group: This section has information about the employees by their salary groups.

Section 4.1: Income from commodity sales/trade in service during the year: In this section information about income that comes from commodity sales/trade by type of commodity/service is collected.

Section 4.2: Miscellaneous income during the year: In this section income from different source like, interest, commission, rent income from machinery, share dividend, insurance (if received in cash), other income including donations are collected.

Section 4.3: Income from bedrooms and other recreational service in Birr: In this section income from bedrooms and recreational services like Sauna bath, cinema/theatre, sport facilities, night club and other recreationa service were collected.

Section 5.1: Expenses for the purchase of goods/commodities for sale, during the year: In this section expenses like, from wholesalers, from producers, from retailers, from other by months covered were collected.

Section 5.2: Micellaneus expenses during the year: In this section other expenses like, electric bill, energy, water, minor repair and maintenance, house rent, machinery and other fixed assets rent, advertisement, satationary and packing materials, telephone bill, accounting audit and legal services, transport, insurance premium, commission, banking service, interest paid, personal consumption and different kind of taxes were collected.

Section 6.1: Commodity stock value: In this section value of stock (goods for sale, pther stock like fule, packing materials, etc..) was collected.

Section 6.2: Payable and receivable money: In this section information about debt and receivable money were collected.

Section 7.1. Type and value of fixed assets: This section has questions related to fixed assets of the establishment.

Section 7.2. Annual investment by type and Source: This section has questions related to investment on fixed assets and working capitals.

Section 8: Problems and future plans of the establishment: In this section information about establishment's problems and operational plans were collected.

Cleaning operations

Data Processing a) Editing, Coding and Verification In order to attain the required level of quality of data, various quality control mechanisms were applied on the different stages of the survey activities. Classroom as well as practical training to the field staff was one of the mechanisms used. The other step taken to control the quality of the survey data was preparing a detailed and clear editing and coding instruction manual. usin this manual, editors and verfiers were given training for three days. Then, the filled in quesionnaires were manually edited