The Swedish capital Stockholm has the largest population of the five Nordic capitals with **** million inhabitants. This is unsurprising as Sweden also is the Nordic country with the largest population. The capital area of Copenhagen is slightly larger than that of Helsinki, whereas Iceland's capital Reykjavik had the smallest population with ******* inhabitants. Oslo's rapid population decline in 2024 is explained by only the numbers for Oslo municipality being reported.

Fixed Capital Investment: Small Enterprises excl Micro: ytd: SB: Tomsk Region data was reported at 1,842.970 RUB mn in Sep 2019. This records an increase from the previous number of 954.160 RUB mn for Jun 2019. Fixed Capital Investment: Small Enterprises excl Micro: ytd: SB: Tomsk Region data is updated quarterly, averaging 1,158.629 RUB mn from Mar 2008 (Median) to Sep 2019, with 47 observations. The data reached an all-time high of 10,584.100 RUB mn in Dec 2008 and a record low of 204.811 RUB mn in Mar 2016. Fixed Capital Investment: Small Enterprises excl Micro: ytd: SB: Tomsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OB011: Fixed Capital Investment: Small Enterprises: by Region: ytd (Discontinued).

Fixed Capital Investment: Small Enterprises excl Micro: ytd: FE: Kamchatka Territory data was reported at 3,956.369 RUB mn in Sep 2019. This records an increase from the previous number of 1,709.344 RUB mn for Jun 2019. Fixed Capital Investment: Small Enterprises excl Micro: ytd: FE: Kamchatka Territory data is updated quarterly, averaging 969.848 RUB mn from Mar 2008 (Median) to Sep 2019, with 47 observations. The data reached an all-time high of 3,956.369 RUB mn in Sep 2019 and a record low of 230.688 RUB mn in Mar 2011. Fixed Capital Investment: Small Enterprises excl Micro: ytd: FE: Kamchatka Territory data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OB011: Fixed Capital Investment: Small Enterprises: by Region: ytd (Discontinued).

This statistic presents European Countries which had the lowest Human Capital Index (HCI) score in 2018. The Human Capital Index measures the economic value which newborns can expect to gain by the time they are adults. In this year, Kosovo had the lowest index score in Europe at ****, followed by Moldova and Romania at **** and *** respectively.

Funded through Baltimore City voter-approved bonds, the Small Capital Grants provide funds for acquisition of property, development, preservation, and restoration. The grant award is a maximum of $15,000, but previous awards have normally ranged between $2,000 and $10,000. Grants must be matched in cash in an amount at least equal to the grant (Definiton Source: Baltimore National Heritage Area).

The State Small Business Credit Initiative (SSBCI)Transactions Dataset is a set of files reporting transaction level data for all transactions conducted through the SSBCI program from inception in 2011 through December 31, 2016. This dataset categorizes transactions by program type, according to the five approved SSBCI programs: Capital Access Programs, Collateral Support Programs, Loan Guarantee Programs, Loan Participation Programs, and Venture Capital Programs. The transaction level data was reported to Treasury by Participating States on an annual basis, as required by the Allocation Agreements. Participating States included all 50 states, the District of Columbia, American Samoa, Guam, Northern Mariana Islands, Puerto Rico and the U.S. Virgin Islands. The data fields provided here include the total financing amount, the amount of federal dollars expended, the date of the transaction, and the industry, zip code, and FTEs of the business receiving financing at the point of transaction, among other fields. The data files are available for public use. This dataset provides quantitative information that can be used for analysis of federal expenditure in supporting small business and economic development in identifying how and where federal financing was used.

Fixed Capital Investment: Small Enterprises excl Micro: ytd: NW: Arkhangelsk Region: Arkhangelsk Region excl Area data was reported at 3,738.782 RUB mn in Sep 2019. This records an increase from the previous number of 2,309.096 RUB mn for Jun 2019. Fixed Capital Investment: Small Enterprises excl Micro: ytd: NW: Arkhangelsk Region: Arkhangelsk Region excl Area data is updated quarterly, averaging 408.727 RUB mn from Dec 2012 (Median) to Sep 2019, with 28 observations. The data reached an all-time high of 3,738.782 RUB mn in Sep 2019 and a record low of 28.502 RUB mn in Mar 2017. Fixed Capital Investment: Small Enterprises excl Micro: ytd: NW: Arkhangelsk Region: Arkhangelsk Region excl Area data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OB011: Fixed Capital Investment: Small Enterprises: by Region: ytd (Discontinued).

This page provides SBA stakeholders links to several public SBA Office of Capital Access reports and datasets. Interactive Dashboards

Abstract

Microenterprise sectors are a dominant feature in urban areas of low- and middle-income countries. As much as a third of the labor force in these economies is self-employed. Those involved in retail trade—street vendors and owners of small shops and restaurants—are a plurality of small scale enterprises. These vendors earn their living using their own labor and small amounts of capital. They generally lack access to loans from formal financial institutions, relying on their own savings and perhaps informal loans from family members or friends. Surveys indicate that the lack of access to finance is one of their most often mentioned complaints.

This study uses data from the Mexican National Survey of Microenterprises (ENAMIN) to estimate returns to capital. A randomized experiment was designed to generate data which allow a consistent measure of returns to capital in microenterprises. Data was collected from a panel of microenterprises in the city of Leon, in Mexico over a period of five quarters. The baseline survey was carried out in November 2005. After the first through fourth rounds of the survey, treatments were administered in the form of either cash or equipment to randomly selected enterprises in the sample. The treatments generate shocks to capital stock which are random, uncorrelated with either the ability of the enterprise owner or the prospects for the business.

An unbiased estimate of returns to capital has important policy implications in several areas. First, the returns from investment determine the interest rates which borrowers are willing to pay to microlending organizations. Higher returns imply a higher likelihood of developing financially sustainable microlenders. Second, if returns are low below some investment threshold, then these low returns may act as an entry barrier, preventing high ability entrepreneurs without access to capital from entering. If, on the other hand, returns to capital are high at very low levels of investment, then capital-constrained entrepreneurs should be able to enter and grow to a desired size by reinvesting profits earned in the enterprise. In that case, capital constraints will have short term costs, but fewer long term effects on outcomes. High returns at low very low capital stock levels suggest that credit constraints will not lead to poverty traps.

Geographic coverage

Leon, Mexico. Leon is the fifth largest city in Mexico, with a metropolitan area population of approximately 1.4 million. The city is the center of Mexico's shoe and leather industries, and is also home to an active microenterprise sector.

Analysis unit

• Microenterprise

Universe

The research team set out to select a sample of enterprises with less than 100,000 pesos (approximately US$1000) in capital stock, excluding land and buildings. The sample was limited to enterprises engaged in retail trade and owned by males aged 22-55. In order to cover only full-time work, the owners were required to be working 35 hours or more a week in the baseline period.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample frame was based on the 10% public use sample of the 2000 population census for the city of Leon. Data was examined at the level of the smallest geographical unit available in the public sample, the UPM (unidad primaria de muestreo). For each UPM, the research team calculated for males 22-55 years of age the average education level and the percentage self-employed in the retail sector. They also calculated the percentage of households in the UPM with a male household head present. Using these data, 20 UPMS were selected with high rates of retail self employment and modest average levels of education.

The screening survey identified enterprises owned by males 22-55 years of age in the retail sector, operating without paid employees. Enterprises with paid employees are very likely to exceed our upper limit of 100,000 pesos of capital stock, so the lack of paid employees was used as an initial screen for capital stock. Where the screening survey was administered to the owners, we also asked for the value of the capital stock excluding land and buildings, measured at replacement cost.

The sample is limited to males aged 22-55 operating in the retail sector. The average enterprise has been operating for just over five years. Only 20 percent of the enterprises were started within a year of the baseline survey. Almost 20 percent are at least ten years old. Sales average 5,700 pesos per month, and profits 3,486 pesos per month. The median levels of sales and profits are similar, 5,000 and 3,000 pesos per month, respectively. We asked owners for profits before accounting for any compensation for their own time, so the profit levels should be viewed as including the opportunity cost of the time spent in the enterprise by the owner. As a result of this, profits are never reported as being negative.

Mode of data collection

Face-to-face [f2f]

Research instrument

The study employed several questionnaires that are explained below. - Survey screen: the screening questionnaire used to determine eligibility for the study - Survey baseline: the baseline survey of enterprises - Household Survey round 1: the baseline survey of households attached to the enterprise - Round 2, Round 3, Round 4, Round 5 surveys: follow-up surveys of enterprises - Round 5 household survey: follow-up survey of the household - Digit span recall showcard: showcard of digits used for digitspan recall test

The survey instrument was modeled after the Mexican National Survey of Microenterprises (ENAMIN) survey. In the first round, detailed information was gathered on the capital invested in the enterprise, separated into tools, machinery and equipment, vehicles, real estate and buildings, and inventories and finished and unfinished goods. Operational data was also gathered on the firm--revenues, expenses and profits-for the preceding month, and personal information about the owner. In each subsequent survey, firms were asked about changes in capital stock, either purchase of new assets or sales of existing assets, and operational data for another month of the survey.

According to a survey conducted in Australia during December 2024, 37 percent of respondents said they will probably purchase IT/office equipment, including hardware and software, over the next three months. Four percent of those surveyed said they will definitely purchase either machinery or plant equipment for their business over the next three months.

Financial overview and grant giving statistics of Small Business Capital Corporation

Comprehensive dataset of 566 Small plates restaurants in Metropolitan City of Rome Capital, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 48 Small appliance repair services in Metropolitan City of Rome Capital, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

During a July 2021 survey, 21.3 percent of surveyed small businesses in the United States claimed that, since March 13 2020, they had postponed planned capital expenditures due to the COVID-19 pandemic. In comparison, only 3.5 percent of respondents said that they had increased planned business expenditures during the pandemic..

In the second quarter of 2019, venture capital funds in the United States raised a total of **** billion U.S. dollars. This is slightly lower than the previous quarter, continuing the trend in declining venture capital investments since a peak in the fourth quarter of 2018.

What is venture capital?

Venture capital is a way for small businesses and startups to raise funds. During the early stages of business, capital access is difficult. Venture capital investors and firms are willing to take risks on unknown or undeveloped businesses in exchange for equity. This backing is more common in some industries, particularly in the technology sector.

Size of the industry

There are thousands of venture capital deals each year in the United States, and the value of venture capital investment is in the tens of billions of dollars annually. The size of these deals depends on a variety of factors. Seed companies, or companies in their infancy, receive the smallest deals. The median deal size increases as the companies are more established.

Fixed Capital Investment: Small Enterprises excl Micro: ytd: CF: Vladimir Region data was reported at 6,005.601 RUB mn in Sep 2019. This records an increase from the previous number of 2,166.753 RUB mn for Jun 2019. Fixed Capital Investment: Small Enterprises excl Micro: ytd: CF: Vladimir Region data is updated quarterly, averaging 1,393.538 RUB mn from Mar 2008 (Median) to Sep 2019, with 47 observations. The data reached an all-time high of 7,517.004 RUB mn in Dec 2017 and a record low of 152.318 RUB mn in Mar 2010. Fixed Capital Investment: Small Enterprises excl Micro: ytd: CF: Vladimir Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OB011: Fixed Capital Investment: Small Enterprises: by Region: ytd (Discontinued).

As of September 2024, the average rental yield of units in Darwin was the highest amongst the capital cities in Australia at **** percent. The lowest average unit rental yield was recorded in Hobart, Tasmania, with a rental yield of **** percent.

This dataset includes all CSBDF-sourced for the referenced report. The data include 175 lending transactions and their associated characteristics related to employment, social capital network index scores, community trust index scores, and financial stability scores.

Concept: Credit operations outstanding by source of funds and type of credit - small-sized enterprise - nonearmarked credit - Working capital with maturity of 30 days or more Source: Credit Information System 26112-credit-operations-outstanding-by-source-of-funds-and-type-of-credit---small-sized-enterprise- 26112-credit-operations-outstanding-by-source-of-funds-and-type-of-credit---small-sized-enterprise- 0 0 Feedback Thank you! Close Feedback. Sorry. Tell us what happen. The data is out of date. I was unable to access the dataset (specify the resource). Insufficient documentation to understand the data set. The data contains error or inconsistency. Describe Your assessment will be sent to the e-Ouv system as a complaint. Click here if you want to track your progress. Name Email Your statement was sent to the e-Ouv system. Click here for details. Protocol number: Access code: Send to e-Ouv system Close

In the first quarter of 2024, Argentina's banking sector recorded the highest capital ratio in Latin America at **** percent. Antigua ranked second with a total capital ratio of **** percent, followed by Mexico in third place at **** percent. At the opposite end of the spectrum, St. Kitts and Nevis had the lowest capital ratio, standing at **** percent.