The smallest country in the world is Vatican City, with a landmass of just 0.49 square kilometers (0.19 square miles). Vatican City is an independent state surrounded by Rome. Vatican City is not the only small country located inside Italy. San Marino is another microstate, with a land area of 60 square kilometers, making it the fifth-smallest country in the world. Many of these small nations have equally small populations, typically less than half a million inhabitants. However, the population of Singapore is almost six million, and is the twentieth smallest country in the world with a land area of 726 square kilometers. In comparison, Jamaica is almost eight times larger than Singapore, but has half the population.

The Vatican City, often called the Holy See, has the smallest population worldwide, with only 496 inhabitants. It is also the smallest country in the world by size. The islands Niue, Tuvalu, and Nauru followed in the next three positions. On the other hand, India is the most populated country in the world, with over 1.4 billion inhabitants.

The lowest rural population rates are found in some of the smallest countries in the world and city-states and areas, such as Gibraltar, Monaco, and Singapore, where the whole population lives in urban areas. Apart from these, Qatar is the country with the lowest rural population rate in the world. There, less than one percent of the population lives in rural areas. Belgium follows behind Qatar with less than two percent living in rural areas. On the other hand, Papua New Guinea has the largest rural population in the world.

This dataset provides values for SMALL BUSINESS SENTIMENT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Refugee Population by Country or Territory of Asylum for Other Small States (SMPOPREFGOSS) from 1990 to 2023 about refugee, small, World, and population.

In 2022, Australia's installed small hydropower capacity reached 175 megawatts, leading the small hydropower generation among other countries in Oceania. New Zealand trailed in second, with approximately 147 megawatts during the same year.

This dataset is about book series and is filtered where the books is Small nations in a big world : what Scotland can learn. It has 10 columns such as book series, earliest publication date, latest publication date, average publication date, and number of authors. The data is ordered by earliest publication date (descending).

Small Area - National Statistical Boundaries - 2022 - UngeneralisedSmall Areas were designed as the lowest level of geography for the dissemination of statistics and generally comprise either complete or part of townlands or neighbourhoods. Small Areas were created by The National Institute of Regional and Spatial Analysis (NIRSA) on behalf of the Tailte Éireann (TE) in consultation with CSO.Small Areas generally comprise between 80 and 120 dwellings and nest within CSO Electoral Divisions.The Small Area boundaries have been amended based on Census 2022 population data.Update Notice: 4th August 2023: Attribution changed for ED and LEA attributes. An implication of this is CSO ED increase in count from 3419 to 3420 and CSO LEA boundary changes. ED and LEAs impacted areLEA 40aece0e-a19d-4e78-af9d-e129f5557496 DÚN LAOGHAIRE redrawnLEA d65ef6e7-75e6-49d9-bda9-d4690e8f68dc KILLINEY-SHANKILL redrawnED 2ae19629-1d37-13a3-e055-000000000001 renamed to DALKEY-COLIEMOREED 2ae19629-1e18-13a3-e055-000000000001 SHANKILL-RATHSALLAGH SA by GUIDS Impacted:('4c07d11e-166e-851d-e053-ca3ca8c0ca7f','4c07d11e-30f0-851d-e053-ca3ca8c0ca7f','4c07d11e-30b0-851d-e053-ca3ca8c0ca7f','4c07d11e-30a0-851d-e053-ca3ca8c0ca7f', '4c07d11e-30e2-851d-e053-ca3ca8c0ca7f','4c07d11e-30e3-851d-e053-ca3ca8c0ca7f','4c07d11e-309d-851d-e053-ca3ca8c0ca7f','4c07d11e-30bd-851d-e053-ca3ca8c0ca7f', '4c07d11e-34fc-851d-e053-ca3ca8c0ca7f','4c07d11e-353b-851d-e053-ca3ca8c0ca7f')('4c07d11e-2b05-851d-e053-ca3ca8c0ca7f','4c07d11e-2bcd-851d-e053-ca3ca8c0ca7f','4c07d11e-3337-851d-e053-ca3ca8c0ca7f','4c07d11e-2bcb-851d-e053-ca3ca8c0ca7f', '4c07d11e-16cf-851d-e053-ca3ca8c0ca7f') SA_PUB2022,SA_GEOGID_2022 updated for the following SA_GUID_2022 values4c07d11e-0aa3-851d-e053-ca3ca8c0ca7f4c07d11d-f918-851d-e053-ca3ca8c0ca7f4c07d11e-034c-851d-e053-ca3ca8c0ca7f4c07d11e-1042-851d-e053-ca3ca8c0ca7f4c07d11e-25c8-851d-e053-ca3ca8c0ca7f

The average for 2023 based on 196 countries was 0.51 percent. The highest value was in India: 17.91 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

This dataset provides values for SMALL BUSINESS SENTIMENT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Russia is the largest country in Europe, and also the largest in the world, its total size amounting to 17 million square kilometers (km2). It should be noted, however, that over three quarters of Russia is located in Asia, and the Ural mountains are often viewed as the meeting point of the two continents in Russia; nonetheless, European Russia is still significantly larger than any other European country. Ukraine, the second largest country on the continent, is only 603,000 km2, making it about 28 times smaller than its eastern neighbor, or seven times smaller than the European part of Russia. France is the third largest country in Europe, but the largest in the European Union. The Vatican City, often referred to as the Holy Sea, is both the smallest country in Europe and in the world, at just one km2. Population Russia is also the most populous country in Europe. It has around 144 million inhabitants across the country; in this case, around three quarters of the population live in the European part, which still gives it the largest population in Europe. Despite having the largest population, Russia is a very sparsely populated country due to its size and the harsh winters. Germany is the second most populous country in Europe, with 83 million inhabitants, while the Vatican has the smallest population. Worldwide, India and China are the most populous countries, with approximately 1.4 billion inhabitants each. Cities Moscow in Russia is ranked as the most populous city in Europe with around 13 million inhabitants, although figures vary, due to differences in the methodologies used by countries and sources. Some statistics include Istanbul in Turkey* as the largest city in Europe with its 15 million inhabitants, bit it has been excluded here as most of the country and parts of the city is located in Asia. Worldwide, Tokyo is the most populous city, with Jakarta the second largest and Delhi the third.

Graph and download economic data for Small Firms with a Bank Loan or Line of Credit to Total Small Firms for Hungary (DDAI04HUA156NWDB) from 2009 to 2019 about Hungary, small, credits, and business.

Graph and download economic data for Small Firms with a Bank Loan or Line of Credit to Total Small Firms for Tajikistan (DDAI04TJA156NWDB) from 2008 to 2019 about Tajikistan, small, credits, and business.

This file contains mark/recapture trapping data collected from 2013-present on permanently established small mammal trapping webs in the creosote-shrubland ecotone on the Sevilleta National Wildlife Refuge in central New Mexico. The two trapping webs are sampled for 3 consecutive nights once per month following the new moon. Each trapping web consists of 145 rebar stakes, 12 spokes originating from a central rebar point, each containing 12 rebars each. The first 4 stakes of the spoke are 5m apart, with the rest being 10m apart for a total of 100m per spoke (200m diameter). Demographic data is collected from each captured animal including age, sex, species, trap location, and reproductive status. Each animal is marked with a unique ear or radio frequency identification (RFID) tag and tissue samples (hair, whiskers, blood and fecal) are collected from each individual once per month. Demographic Findings: From 2013–2023, the program captured an average of 432 unique individuals per year across >10 species from two rodent families, Heteromyidae and Cricetidae. Heteromyids are the most abundant (~77% of captures), with Perognathus flavus (51%), Dipodomys merriami (11%), D. ordii (11%), and D. spectabilis (4%) dominating the community. Recapture rates for these species are >75%, generating longitudinal data on survival.

This dataset is about book subjects and is filtered where the books is Small nations in a big world : what Scotland can learn, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).

Graph and download economic data for Small Firms with a Bank Loan or Line of Credit to Total Small Firms for Nicaragua (DDAI04NIA156NWDB) from 2006 to 2016 about Nicaragua, small, credits, and business.

Graph and download economic data for Expenditures: Small Appliances, Miscellaneous Housewares by Income Before Taxes: $40,000 to $49,999 (CXUSMAPPHWRLB0208M) from 1984 to 2023 about small, appliances, miscellaneous, tax, expenditures, income, and USA.

Graph and download economic data for Small Firms with a Bank Loan or Line of Credit to Total Small Firms for Serbia (DDAI04RSA156NWDB) from 2009 to 2019 about Serbia, small, credits, and business.

European Total Small-spotted Catshark Production in Capture Fisheries by Country, 2023 Discover more data with ReportLinker!

COVID-19 Trends MethodologyOur goal is to analyze and present daily updates in the form of recent trends within countries, states, or counties during the COVID-19 global pandemic. The data we are analyzing is taken directly from the Johns Hopkins University Coronavirus COVID-19 Global Cases Dashboard, though we expect to be one day behind the dashboard’s live feeds to allow for quality assurance of the data.Revisions added on 4/23/2020 are highlighted.Revisions added on 4/30/2020 are highlighted.Discussion of our assertion of an abundance of caution in assigning trends in rural counties added 5/7/2020. Correction on 6/1/2020Methodology update on 6/2/2020: This sets the length of the tail of new cases to 6 to a maximum of 14 days, rather than 21 days as determined by the last 1/3 of cases. This was done to align trends and criteria for them with U.S. CDC guidance. The impact is areas transition into Controlled trend sooner for not bearing the burden of new case 15-21 days earlier.Reasons for undertaking this work:The popular online maps and dashboards show counts of confirmed cases, deaths, and recoveries by country or administrative sub-region. Comparing the counts of one country to another can only provide a basis for comparison during the initial stages of the outbreak when counts were low and the number of local outbreaks in each country was low. By late March 2020, countries with small populations were being left out of the mainstream news because it was not easy to recognize they had high per capita rates of cases (Switzerland, Luxembourg, Iceland, etc.). Additionally, comparing countries that have had confirmed COVID-19 cases for high numbers of days to countries where the outbreak occurred recently is also a poor basis for comparison.The graphs of confirmed cases and daily increases in cases were fit into a standard size rectangle, though the Y-axis for one country had a maximum value of 50, and for another country 100,000, which potentially misled people interpreting the slope of the curve. Such misleading circumstances affected comparing large population countries to small population counties or countries with low numbers of cases to China which had a large count of cases in the early part of the outbreak. These challenges for interpreting and comparing these graphs represent work each reader must do based on their experience and ability. Thus, we felt it would be a service to attempt to automate the thought process experts would use when visually analyzing these graphs, particularly the most recent tail of the graph, and provide readers with an a resulting synthesis to characterize the state of the pandemic in that country, state, or county.The lack of reliable data for confirmed recoveries and therefore active cases. Merely subtracting deaths from total cases to arrive at this figure progressively loses accuracy after two weeks. The reason is 81% of cases recover after experiencing mild symptoms in 10 to 14 days. Severe cases are 14% and last 15-30 days (based on average days with symptoms of 11 when admitted to hospital plus 12 days median stay, and plus of one week to include a full range of severely affected people who recover). Critical cases are 5% and last 31-56 days. Sources:U.S. CDC. April 3, 2020 Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). Accessed online. Initial older guidance was also obtained online. Additionally, many people who recover may not be tested, and many who are, may not be tracked due to privacy laws. Thus, the formula used to compute an estimate of active cases is: Active Cases = 100% of new cases in past 14 days + 19% from past 15-30 days + 5% from past 31-56 days - total deaths.We’ve never been inside a pandemic with the ability to learn of new cases as they are confirmed anywhere in the world. After reviewing epidemiological and pandemic scientific literature, three needs arose. We need to specify which portions of the pandemic lifecycle this map cover. The World Health Organization (WHO) specifies six phases. The source data for this map begins just after the beginning of Phase 5: human to human spread and encompasses Phase 6: pandemic phase. Phase six is only characterized in terms of pre- and post-peak. However, these two phases are after-the-fact analyses and cannot ascertained during the event. Instead, we describe (below) a series of five trends for Phase 6 of the COVID-19 pandemic.Choosing terms to describe the five trends was informed by the scientific literature, particularly the use of epidemic, which signifies uncontrolled spread. The five trends are: Emergent, Spreading, Epidemic, Controlled, and End Stage. Not every locale will experience all five, but all will experience at least three: emergent, controlled, and end stage.This layer presents the current trends for the COVID-19 pandemic by country (or appropriate level). There are five trends:Emergent: Early stages of outbreak. Spreading: Early stages and depending on an administrative area’s capacity, this may represent a manageable rate of spread. Epidemic: Uncontrolled spread. Controlled: Very low levels of new casesEnd Stage: No New cases These trends can be applied at several levels of administration: Local: Ex., City, District or County – a.k.a. Admin level 2State: Ex., State or Province – a.k.a. Admin level 1National: Country – a.k.a. Admin level 0Recommend that at least 100,000 persons be represented by a unit; granted this may not be possible, and then the case rate per 100,000 will become more important.Key Concepts and Basis for Methodology: 10 Total Cases minimum threshold: Empirically, there must be enough cases to constitute an outbreak. Ideally, this would be 5.0 per 100,000, but not every area has a population of 100,000 or more. Ten, or fewer, cases are also relatively less difficult to track and trace to sources. 21 Days of Cases minimum threshold: Empirically based on COVID-19 and would need to be adjusted for any other event. 21 days is also the minimum threshold for analyzing the “tail” of the new cases curve, providing seven cases as the basis for a likely trend (note that 21 days in the tail is preferred). This is the minimum needed to encompass the onset and duration of a normal case (5-7 days plus 10-14 days). Specifically, a median of 5.1 days incubation time, and 11.2 days for 97.5% of cases to incubate. This is also driven by pressure to understand trends and could easily be adjusted to 28 days. Source used as basis:Stephen A. Lauer, MS, PhD *; Kyra H. Grantz, BA *; Qifang Bi, MHS; Forrest K. Jones, MPH; Qulu Zheng, MHS; Hannah R. Meredith, PhD; Andrew S. Azman, PhD; Nicholas G. Reich, PhD; Justin Lessler, PhD. 2020. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Annals of Internal Medicine DOI: 10.7326/M20-0504.New Cases per Day (NCD) = Measures the daily spread of COVID-19. This is the basis for all rates. Back-casting revisions: In the Johns Hopkins’ data, the structure is to provide the cumulative number of cases per day, which presumes an ever-increasing sequence of numbers, e.g., 0,0,1,1,2,5,7,7,7, etc. However, revisions do occur and would look like, 0,0,1,1,2,5,7,7,6. To accommodate this, we revised the lists to eliminate decreases, which make this list look like, 0,0,1,1,2,5,6,6,6.Reporting Interval: In the early weeks, Johns Hopkins' data provided reporting every day regardless of change. In late April, this changed allowing for days to be skipped if no new data was available. The day was still included, but the value of total cases was set to Null. The processing therefore was updated to include tracking of the spacing between intervals with valid values.100 News Cases in a day as a spike threshold: Empirically, this is based on COVID-19’s rate of spread, or r0 of ~2.5, which indicates each case will infect between two and three other people. There is a point at which each administrative area’s capacity will not have the resources to trace and account for all contacts of each patient. Thus, this is an indicator of uncontrolled or epidemic trend. Spiking activity in combination with the rate of new cases is the basis for determining whether an area has a spreading or epidemic trend (see below). Source used as basis:World Health Organization (WHO). 16-24 Feb 2020. Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). Obtained online.Mean of Recent Tail of NCD = Empirical, and a COVID-19-specific basis for establishing a recent trend. The recent mean of NCD is taken from the most recent fourteen days. A minimum of 21 days of cases is required for analysis but cannot be considered reliable. Thus, a preference of 42 days of cases ensures much higher reliability. This analysis is not explanatory and thus, merely represents a likely trend. The tail is analyzed for the following:Most recent 2 days: In terms of likelihood, this does not mean much, but can indicate a reason for hope and a basis to share positive change that is not yet a trend. There are two worthwhile indicators:Last 2 days count of new cases is less than any in either the past five or 14 days. Past 2 days has only one or fewer new cases – this is an extremely positive outcome if the rate of testing has continued at the same rate as the previous 5 days or 14 days. Most recent 5 days: In terms of likelihood, this is more meaningful, as it does represent at short-term trend. There are five worthwhile indicators:Past five days is greater than past 2 days and past 14 days indicates the potential of the past 2 days being an aberration. Past five days is greater than past 14 days and less than past 2 days indicates slight positive trend, but likely still within peak trend time frame.Past five days is less than the past 14 days. This means a downward trend. This would be an