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Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27449-spread-of-the-icc---earmarked 27449-spread-of-the-icc---earmarked
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This dataset is ideal for practicing and evaluating advanced clustering techniques, allowing for the exploration of different methods to handle complex data distributions and improve cluster separability.
x: Type: Continuous Description: The x-coordinate of a point in the 3D space. Each cluster has its own center and spread in the x dimension, contributing to the overall distribution of points.
y: Type: Continuous Description: The y-coordinate of a point in the 3D space. Like the x-coordinate, each cluster has a specific center and spread in the y dimension, affecting the clustering structure.
z: Type: Continuous Description: The z-coordinate of a point in the 3D space. The z dimension, along with x and y, defines the 3D position of each point, with each cluster having distinct central and spread values.
color: Type: Categorical
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Concept: Difference (spread) between average interest rate on new credit operations in the reference period in the National Financial System and corresponding average cost of funds. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 20783-average-spread-of-new-credit-operations---total 20783-average-spread-of-new-credit-operations---total
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Latin America data centers portfolio covers 239 existing data centers and 79 upcoming data centers spread across 18 countries in Latin America.
The Texas-based colocation provider Digital Realty had more than 5,000 square feet of net rentable space at its Northern Virginia data centers as of December 2024. This space was spread across 18 facilities owned and operated by the firm, with Northern Virginia a major data center hub.
Europe had the largest call center market in 2017, generating around ** billion U.S. dollars in revenue, followed by North America, with ** billion U.S. dollars. Latin America had the smallest market in that year, with ** billion U.S. dollars in revenue. Call center market The call center market includes the section of an organization that provides assistance to customers by phone. This can be for existing customers, for example by answering queries about the product or service they purchased, or for sales-based activities to obtain new customers. Given the broad nature of these services, virtually every industry is represented in the call center market, making it a prime candidate for outsourcing. Outsourcing can achieve lower costs through locating call center infrastructure in countries with lower costs, such as India and the Philippines, and significantly reduce the capital expenditure required to set up a call center. This has led to a growing outsourced call center market that is expected to reach **** billion U.S. dollars by 2020. Overall market growth Some analysts expect the overall call center market to experience strong growth in coming years, predicting it will more than double in size by 2022. However, other analysts expect growth to be more limited and unevenly spread. For example, some predict the European market to shrink in size by 2025, while the United States will grow to be the largest market. Data from the last few years seems to support the hypothesis that the U.S. market will overtake Europe, with many more new call centers opening there between 2016 and 2018.
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Concept: -- to be defined -- Source: Central Bank of Brazil - Statistics Department 27698-spread-of-the-icc---non-revolving-operations---nonearmarked 27698-spread-of-the-icc---non-revolving-operations---nonearmarked
In the twenty mental health centers spread across Flanders, the average time for a first consultation reached around 50 days in 2018. In addition, the waiting period after the second consultation reached an average of 105 days. In other words, past the second meeting, patients could expect to wait at least 3 months before their third appointment. Long waiting times could be a sign of problematic access to health care.
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Statistics illustrates consumption, production, prices, and trade of Dairy Spreads in Central Asia from 2007 to 2024.
The Ukraine Demographic and Health Survey (UDHS) is a nationally representative survey of 6,841 women age 15-49 and 3,178 men age 15-49. Survey fieldwork was conducted during the period July through November 2007. The UDHS was conducted by the Ukrainian Center for Social Reforms in close collaboration with the State Statistical Committee of Ukraine. The MEASURE DHS Project provided technical support for the survey. The U.S. Agency for International Development/Kyiv Regional Mission to Ukraine, Moldova, and Belarus provided funding.
The survey is a nationally representative sample survey designed to provide information on population and health issues in Ukraine. The primary goal of the survey was to develop a single integrated set of demographic and health data for the population of the Ukraine.
The UDHS was conducted from July to November 2007 by the Ukrainian Center for Social Reforms (UCSR) in close collaboration with the State Statistical Committee (SSC) of Ukraine, which provided organizational and methodological support. Macro International Inc. provided technical assistance for the survey through the MEASURE DHS project. USAID/Kyiv Regional Mission to Ukraine, Moldova and Belarus provided funding for the survey through the MEASURE DHS project. MEASURE DHS is sponsored by the United States Agency for International Development (USAID) to assist countries worldwide in obtaining information on key population and health indicators.
The 2007 UDHS collected national- and regional-level data on fertility and contraceptive use, maternal health, adult health and life style, infant and child mortality, tuberculosis, and HIV/AIDS and other sexually transmitted diseases. The survey obtained detailed information on these issues from women of reproductive age and, on certain topics, from men as well.
The results of the 2007 UDHS are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health of Ukrainians and health services for the people of Ukraine. The 2007 UDHS also contributes to the growing international database on demographic and health-related variables.
MAIN RESULTS
Fertility rates. A useful index of the level of fertility is the total fertility rate (TFR), which indicates the number of children a woman would have if she passed through the childbearing ages at the current age-specific fertility rates (ASFR). The TFR, estimated for the three-year period preceding the survey, is 1.2 children per woman. This is below replacement level.
Contraception : Knowledge and ever use. Knowledge of contraception is widespread in Ukraine. Among married women, knowledge of at least one method is universal (99 percent). On average, married women reported knowledge of seven methods of contraception. Eighty-nine percent of married women have used a method of contraception at some time.
Abortion rates. The use of abortion can be measured by the total abortion rate (TAR), which indicates the number of abortions a woman would have in her lifetime if she passed through her childbearing years at the current age-specific abortion rates. The UDHS estimate of the TAR indicates that a woman in Ukraine will have an average of 0.4 abortions during her lifetime. This rate is considerably lower than the comparable rate in the 1999 Ukraine Reproductive Health Survey (URHS) of 1.6. Despite this decline, among pregnancies ending in the three years preceding the survey, one in four pregnancies (25 percent) ended in an induced abortion.
Antenatal care. Ukraine has a well-developed health system with an extensive infrastructure of facilities that provide maternal care services. Overall, the levels of antenatal care and delivery assistance are high. Virtually all mothers receive antenatal care from professional health providers (doctors, nurses, and midwives) with negligible differences between urban and rural areas. Seventy-five percent of pregnant women have six or more antenatal care visits; 27 percent have 15 or more ANC visits. The percentage is slightly higher in rural areas than in urban areas (78 percent compared with 73 percent). However, a smaller proportion of rural women than urban women have 15 or more antenatal care visits (23 percent and 29 percent, respectively).
HIV/AIDS and other sexually transmitted infections : The currently low level of HIV infection in Ukraine provides a unique window of opportunity for early targeted interventions to prevent further spread of the disease. However, the increases in the cumulative incidence of HIV infection suggest that this window of opportunity is rapidly closing.
Adult Health : The major causes of death in Ukraine are similar to those in industrialized countries (cardiovascular diseases, cancer, and accidents), but there is also a rising incidence of certain infectious diseases, such as multidrug-resistant tuberculosis.
Women's status : Sixty-four percent of married women make decisions on their own about their own health care, 33 percent decide jointly with their husband/partner, and 1 percent say that their husband or someone else is the primary decisionmaker about the woman's own health care.
Domestic Violence : Overall, 17 percent of women age 15-49 experienced some type of physical violence between age 15 and the time of the survey. Nine percent of all women experienced at least one episode of violence in the 12 months preceding the survey. One percent of the women said they had often been subjected to violent physical acts during the past year. Overall, the data indicate that husbands are the main perpetrators of physical violence against women.
Human Trafficking : The UDHS collected information on respondents' awareness of human trafficking in Ukraine and, if applicable, knowledge about any household members who had been the victim of human trafficking during the three years preceding the survey. More than half (52 percent) of respondents to the household questionnaire reported that they had heard of a person experiencing this problem and 10 percent reported that they knew personally someone who had experienced human trafficking.
The survey is a nationally representative sample survey designed to provide information on population and health issues in Ukraine. The 27 administrative regions were grouped for this survey into five geographic regions: North, Central, East, South and West. The five geographic regions are the five study domains of the survey. The estimates obtained from the 2007 UDHS are presented for the country as a whole, for urban and rural areas, and for each of the five geographic regions.
The population covered by the 2007 UDHS is defined as the universe of all women and men age 15-49 in Ukraine.
Sample survey data
The 2007 Ukraine Demographic and Health Survey (UDHS) was the first survey of its kind carried out in Ukraine. The survey was a nationally representative sample survey of 15,000 households, with an expected yield of about 7,900 completed interviews of women age 15-49. It was designed to provide estimates on fertility, infant and child mortality, use of contraception and family planning, knowledge and attitudes toward HIV/AIDS and other sexually transmitted infections (STI), and other family welfare and health indicators. Ukraine is made up of 24 oblasts, the Autonomous Republic of Crimea, and two special cities (Kyiv and Sevastopol), which together make up 27 administrative regions, each subdivided into lower-level administrative units. The 27 administrative regions were grouped for this survey into five geographic regions: North, Central, East, South and West. The five geographic regions are the five study domains of the survey. The estimates obtained from the 2007 UDHS are presented for the country as a whole, for urban and rural areas, and for each of the five geographic regions.
A men's survey was conducted at the same time as the women's survey, in a subsample consisting of one household in every two selected for the female survey. All men age 15-49 living in the selected households were eligible for the men's survey. The survey collected information on men's use of contraception and family planning and their knowledge and attitudes toward HIV/AIDS and other sexually transmitted infections (STI).
SAMPLING FRAME
The sampling frame used for the 2007 UDHS was the Ukraine Population Census conducted in 2001 (SSC, 2003a), provided by the State Statistical Committee (SSC) of Ukraine. The sampling frame consisted of about 38 thousand enumeration areas (EAs) with an average of 400-500 households per EA. Each EA is subdivided into 4-5 enumeration units (EUs) with an average of 100 households per EU. An EA is a city block in urban areas; in rural areas, an EA is either a village or part of a large village, or a group of small villages (possibly plus a part of a large village). An EU is a list of addresses (in a neighborhood) that was used as a convenient counting unit for the census. Both EAs and EUs include information about the location, type of residence, address of each structure in it, and the number of households in each structure.
Census maps were available for most of the EAs with marked boundaries. In urban areas, the census maps have marked boundaries/locations of the EUs. In rural areas, the EUs are defined by detailed descriptions available at the SSC local office. Therefore, either the EA or the EU could be used as the primary sampling unit (PSU) for the 2007 UDHS. Because the EAs in urban areas are large (an average of 500 households), using
The Twentieth Century Reanalysis Project, supported by the Earth System Research Laboratory Physical Sciences Division from NOAA and the University of Colorado CIRES Climate Diagnostics Center, is an effort to produce a global reanalysis dataset spanning the entire twentieth century, assimilating only surface observations of synoptic pressure, monthly sea surface temperature and sea ice distribution (Version 1 only includes the years 1908 to 1958). Products include 6-hourly ensemble mean and spread analysis fields on a 2 by 2 degree global latitude-longitude grid, and 3 and 6-hourly ensemble mean and spread forecast (first guess) fields on a global Gaussian T62 grid. Fields are accessible in yearly time series files (1 file per parameter) or monthly synoptic files (all parameters included in each file).
The Twentieth Century Reanalysis Project used resources of the National Energy Research Scientific Computing Center managed by Lawrence Berkeley National Laboratory and of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which are supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and Contract No. DE-AC05-00OR22725, respectively.
Note: Version 2c of this reanalysis (running from 1851 - 2011) is the recommended research version. Please see ds131.2 to access Version 2c.
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IMARC Group’s report, titled “Breakfast Spread (Jam, Marmalade) Manufacturing Plant Project Report 2025: Industry Trends, Plant Setup, Machinery, Raw Materials, Investment Opportunities, Cost and Revenue” provides a complete roadmap for setting up a breakfast spread (jam, marmalade) manufacturing plant. It covers a comprehensive market overview to micro-level information such as unit operations involved, raw material requirements, utility requirements, infrastructure requirements, machinery and technology requirements, manpower requirements, packaging requirements, transportation requirements, etc. The breakfast spread (jam, marmalade) project report provides detailed insights into project economics, including capital investments, project funding, operating expenses, income and expenditure projections, fixed costs vs. variable costs, direct and indirect costs, expected ROI and net present value (NPV), profit and loss account, financial analysis, etc.
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Breakfast spreads, which include jams and marmalades, have established a prominent place in daily food consumption across the globe. These spreads are generally manufactured from fruits, sugars, and sometimes pectin, with recipe variations leading to a broad array of flavors and textures. While they are traditionally consumed during breakfast, they have also found their way into diverse culinary applications, from baking and confectionery to snack preparation. They add flavor to meals but also enrich the diet with nutrients, such as vitamins and minerals, inherent in the fruits used. Furthermore, in line with evolving consumer trends, manufacturers have introduced breakfast spreads made from organic and natural ingredients, catering to the health-conscious demographic. The resulting spectrum of flavors, nutritive values, and health benefits make breakfast spreads, such as jams and marmalades, a popular choice for consumers worldwide.
The global market for breakfast spreads, including jams and marmalades, is being driven by the increasing demand for convenient and quick meal options. With fast-paced lifestyles becoming more common, consumers are seeking food items that are easy to use and can enhance their meals' taste without requiring significant preparation time. Breakfast spreads cater perfectly to this requirement, contributing to their steady market growth. Along with this, the flourishing bakery and confectionery industry, which extensively uses these spreads, further bolsters this trend. Moreover, rising health awareness has prompted manufacturers to introduce healthier variants of spreads, using natural ingredients, reduced sugar, and no preservatives. These healthier options cater to an expanding consumer segment that prioritizes both taste and health, boosting market expansion.
Trends shaping the breakfast spread market include product innovation driven by consumer preferences for exotic flavors and healthy ingredients. Manufacturers constantly experiment with different fruit combinations and flavor profiles to cater to the consumers' evolving palate. In addition, the trend towards organic and clean-label products has led to an escalating demand for breakfast spreads produced from organically grown fruits and devoid of artificial additives. Besides, with sustainability being a key consumer concern, companies are increasingly focusing on eco-friendly packaging solutions, attracting environmentally-conscious consumers and solidifying their market presence. Furthermore, the advent of e-commerce platforms has widened product availability and accessibility, fueling the growth of the breakfast spread market across different geographic regions.
The following aspects have been covered in the report on setting up a breakfast spread (jam, marmalade) manufacturing plant:
The report provides insights into the landscape of the breakfast spread (jam, marmalade) industry at the global level. The report also provides a segment-wise and region-wise breakup of the global breakfast spread (jam, marmalade) industry. Additionally, it also provides the price analysis of feedstocks used in the manufacturing of breakfast spread (jam, marmalade), along with the industry profit margins.
The report also provides detailed information related to the process flow and various unit operations involved in a breakfast spread (jam, marmalade) manufacturing plant. Furthermore, information related to mass balance and raw material requirements has also been provided in the report with a list of necessary quality assurance criteria and technical tests.
The report provides a detailed location analysis covering insights into the land location, selection criteria, location significance, environmental impact, and expenditure for setting up a breakfast spread (jam, marmalade) manufacturing plant. Additionally, the report also provides information related to plant layout and factors influencing the same. Furthermore, other requirements and expenditures related to machinery, raw materials, packaging, transportation, utilities, and human resources have also been covered in the report.
Capital Expenditure (CapEx) and Operational Expenditure (OpEx) Analysis:
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The report also covers a detailed analysis of the project economics for setting up a breakfast spread (jam, marmalade) manufacturing plant. This includes the analysis and detailed understanding of capital expenditure (CapEx), operating expenditure (OpEx), income projections, taxation, depreciation, liquidity analysis, profitability analysis, payback period, NPV, uncertainty analysis, and sensitivity analysis. Furthermore, the report also provides a detailed analysis of the regulatory procedures and approvals, information related to financial assistance, along with a comprehensive list of certifications required for setting up a breakfast spread (jam, marmalade) manufacturing plant.
Particulars | Unit | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
---|---|---|---|---|---|---|
Total Income | US$ | XX | XX | XX | XX | XX |
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Spread-the-love-(-Beijing)-Cultural-Development-Center.
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Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27451-spread-of-the-icc---earmarked---individuals 27451-spread-of-the-icc---earmarked---individuals
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Spain data centers: 63 operational facilities and 22 upcoming data centers spread across 20 cities. List of Colocation and Cloud data facilities in Spain.
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This application uses a compartmental epidemiological model, based on a classic SEIR model to describe the spread and clinical progression of COVID-19 in a population of individuals who have never been exposed to the disease previously.. The speed and extent to which the disease spreads - and how much it may ultimately overwhelm healthcare capacity - will depend on a number of rates related to disease transmission and progression. The application permits to set different clinical parameters, transmission rates, intervention parameters, healthcare capacity, and simulation values.
Web map of Spatial fire model run of the Woodtick Fire, July and August 2022. Short term fire behavior analysis modeling of the Woodtick fire spread. Using intense heat spatial data from 7/25/2022 and projecting spread for three days.
The Montana COVID-19 Case and Test Data feature service hosts COVID-19 statistics for the state of Montana by county. The data is derived from local health officials at the county level who report cases to the Montana Department of Health and Human Services. DPHHS tabulates case data and then gives the data to the Montana State Library to publish through this web service. The daily updates are managed by the Disaster and Emergency Service State Emergency Coordination Center. The feature service is comprised of Montana's county geography with attributes that summarize Total COVID-19 cases by age (10-year groups), by sex (M/F/U), new cases, total deaths, hospitalization count, total recovered and the number of total active cases. The two tables store various stats that include the total number of tests completed, and the number of new tests completed for individual test dates; and individual case data which includes age group, sex, county or residence and recovery status.
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[ Derived from parent entry - See data hierarchy tab ]
This is a wave hindcast for the period 1995 - 2018 covering the North and Baltic Sea. The simulation has been performed with the spectral wave model WAM Version 4.6.2. The model domain covers the area from approx 49.2° N to 66.6° N and 9.8° W to 31.6° E, with a spatial resolution of 0.044 degree latitude x 0.044 degree longitude (approx. 5 by 5 km) on a rotated grid with the coordinates of the rotated north pole 140°W E and 32° N. Integrated parameter derived from 2D spectra are available every hour. Atmospheric forcing was obtained from the COSMO-REA6 regional atmospheric reanalysis (https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.2486) provided by the German Weather Service (DWD) . Lateral boundary conditions were obtained from corresponding coarse grid hindcast covering most of the Northeast Atlantic driven by the same atmospheric forcing.
As of July 2020, 55.3 percent of Indonesian respondents stated that they were fairly satisfied with the coronavirus (COVID-19) pandemic-related measures taken by the central government. Pembatasan Sosial Berskala Besar (PSBB), which translates as large-scale social distancing in English, was one of the preventive measures against the spread of novel coronavirus (COVID-19) in Indonesia. This policy was implemented on April 10, 2020
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Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27449-spread-of-the-icc---earmarked 27449-spread-of-the-icc---earmarked