The Monitor provides an update of developments in Pacific economies and explores topical policy issues.

View LSEG's extensive Economic Data, including content that allows the analysis and monitoring of national economies with historical and real-time series.

Stay informed with our comprehensive Financial News Dataset, designed for investors, analysts, and businesses to track market trends, monitor financial events, and make data-driven decisions.

Dataset Features

Financial News Articles: Access structured financial news data, including headlines, summaries, full articles, publication dates, and source details. Market & Economic Indicators: Track financial reports, stock market updates, economic forecasts, and corporate earnings announcements. Sentiment & Trend Analysis: Analyze news sentiment, categorize articles by financial topics, and monitor emerging trends in global markets. Historical & Real-Time Data: Retrieve historical financial news archives or access continuously updated feeds for real-time insights.

Customizable Subsets for Specific Needs Our Financial News Dataset is fully customizable, allowing you to filter data based on publication date, region, financial topics, sentiment, or specific news sources. Whether you need broad coverage for market research or focused data for investment analysis, we tailor the dataset to your needs.

Popular Use Cases

Investment Strategy & Risk Management: Monitor financial news to assess market risks, identify investment opportunities, and optimize trading strategies. Market & Competitive Intelligence: Track industry trends, competitor financial performance, and economic developments. AI & Machine Learning Training: Use structured financial news data to train AI models for sentiment analysis, stock prediction, and automated trading. Regulatory & Compliance Monitoring: Stay updated on financial regulations, policy changes, and corporate governance news. Economic Research & Forecasting: Analyze financial news trends to predict economic shifts and market movements.

Whether you're tracking stock market trends, analyzing financial sentiment, or training AI models, our Financial News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

The Myanmar Economic Monitor (MEM) aims to periodically take stock of economic development and highlight economic prospects and policy priorities in Myanmar. Myanmar grew at an estimated 8.5 percent in real terms in 2014/15. The MEM touches on continued recovery in growth, public consumption, private investment, services, investment in manufacturing and industry, rebound in agriculture and the impact of floods. The monitor examines foreign trade and investment; the inflation, monetary and exchange rates; fiscal policy; and Myanmar’s economic outlook. The Policy Watch section covers a few selected priority issues closely related to Myanmar’s overall economic developments and outlook.

Techsalerator's News Events Data for Georgia: A Comprehensive Overview

Techsalerator's News Events Data for Georgia offers a valuable resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Georgia, drawing from a wide range of media sources, including news outlets, online publications, and social platforms. It provides essential insights for those tracking trends, analyzing public sentiment, or monitoring developments in specific industries.

Key Data Fields
Event Date: Records the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to changes in the market.

Event Title: A brief headline that describes the event, allowing users to quickly categorize and assess the content based on relevance to their interests.

Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the reach and influence of the event.

Location: Provides geographic information, indicating where the event took place within Georgia. This is particularly valuable for regional analysis or localized marketing efforts.

Event Description: A detailed summary outlining key developments, participants, and potential impact. Businesses and researchers use this to understand the context and implications of the event.

Top 5 News Categories in Georgia
Politics: News coverage on government decisions, political movements, elections, and policy changes shaping the national landscape.

Economy: Focuses on Georgia's economic indicators, trade, corporate activities, and financial developments that influence the business and finance sectors.

Social Issues: News covering societal concerns such as public health, education, and protests that drive public discourse.

Sports: Highlights major sports events, particularly in rugby, football, and wrestling, which are widely followed across the country.

Technology and Innovation: Reports on tech advancements, startups, and innovations in Georgia's growing tech ecosystem, including contributions from local and international companies.

Top 5 News Sources in Georgia
Agenda.ge: A leading news portal offering updates on politics, economy, and social issues.

Interpressnews: A prominent online news platform providing real-time updates on breaking news and major developments across Georgia.

Georgia Today: An English-language publication focused on Georgia’s political, economic, and business landscape.

Civil.ge: A well-respected source for in-depth analysis of political and social issues in Georgia.

Radio Tavisupleba: A major news network that broadcasts updates on current affairs, culture, and live events throughout the country.

Accessing Techsalerator’s News Events Data for Georgia
To access Techsalerator’s News Events Data for Georgia, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields
Event Date
Event Title
Source
Location
Event Description
Event Category (Politics, Economy, Sports, etc.)
Participants (if applicable)
Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is a vital tool for tracking significant events in Georgia. It supports informed decision-making for business strategies, market analysis, or academic research by providing a clear picture of the country's news landscape.

The Expert Market Research report, titled “Event Monitor Manufacturing Plant Project Report 2025 Edition: Industry Trends, Capital Investment, Price Trends, Manufacturing Process, Raw Materials Requirement, Plant Setup, Operating Cost, and Revenue Statistics” includes various aspects that are critical for establishing an event monitor plant. These include infrastructure requirements, transportation requirements, utility specifications, and financial and economic analysis, among others.

The Organisation for Economy Cooperation and Development (OECD) defines inclusive as "economic growth that creates opportunity for all segments of the population and distributes the dividends of increased prosperity, both in monetary and non-monetary terms, fairly across society". The Joseph Rowntree Foundation (JRF) identified a list of 18 Inclusive growth monitor indicators to provide a benchmark of how an area is performing. This dataset provides data on each indicator. The report and supporting documents can be found at Inclusive growth indicators for cities . We used these indicators to create an Inclusive Economy Calderdale project data pack in 2017 and 2018. In each indicator, Calderdale is compared against the Leeds City Region and 'Best Borough in the North'. Leeds City Region is a Local enterprise region of ten authorities in Yorkshire: Barnsley, Bradford, Calderdale, Craven, Harrogate, Kirklees, Leeds, Selby, Wakefield and York. Best Borough in the North is a group of northern authorities which Calderdale Council benchmarks its corporate performance against: Barnsley, Bolton, Bury, Calderdale, Doncaster, Gateshead, Kirklees, Knowsley, North Tyneside, Oldham, Rochdale, Rotherham, Sefton, South Tyneside, St Helens, Stockport, Tameside, Trafford, Wigan and Wirral. The data in these resources are from several sources. Each resource in this dataset includes the data source used. The Inclusive Economy Calderdale data pack was used as to monitor progress with the Calderdale Inclusive Economy Strategy and as part of the Kindness and Resilience data pack for the We are Calderdale assembly. It has previously contributed to the Grow the Economy data pack for State of Calderdale events in 2018 and 2017.

Techsalerator’s News Event Data in Europe is a comprehensive and meticulously curated dataset designed to provide businesses, analysts, journalists, and researchers with an extensive view of significant news events across Europe. This dataset captures and categorizes key events reported from a variety of news sources, offering valuable insights into industry developments, economic changes, political shifts, and other noteworthy occurrences throughout the continent.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources including press releases, industry news sites, blogs, PR platforms, and traditional news outlets. This broad coverage ensures that users receive a diverse array of information from multiple reporting channels. Categorization of Events:

News events are meticulously categorized into various types such as business and financial updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to specific interests or sectors. Real-Time Updates:

Data is updated regularly to include the most current events. This ensures that users have access to the latest information and can stay informed about recent developments as they unfold. Geographic Segmentation:

Events are tagged with their respective countries and regions within Europe. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes detailed information such as the date of occurrence, source of the news, event description, and relevant keywords. This comprehensive detail aids in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and analyze changes over time. This feature supports longitudinal studies and comparative analysis of historical and recent events. Advanced Search and Filter Options:

Users can search and filter news events based on various criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. European Countries Covered: Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Benefits of the Dataset: Informed Decision-Making: Businesses and analysts can leverage the dataset to stay updated on key developments that may impact their operations, market conditions, or strategic decisions. Market and Industry Analysis: The dataset provides valuable insights into industry trends, economic changes, and political events, helping users analyze market dynamics and make informed decisions. Media and PR Monitoring: Journalists and PR professionals can track relevant news and events across Europe, allowing them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Purposes: Researchers can use the dataset for longitudinal studies, trend analysis, and academic research on various topics related to European news and events. Techsalerator’s News Event Data in Europe is a vital resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Techsalerator’s News Event Data in Latin America offers a detailed and extensive dataset designed to provide businesses, analysts, journalists, and researchers with an in-depth view of significant news events across the Latin American region. This dataset captures and categorizes key events reported from a wide array of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable insights into regional developments, economic changes, political shifts, and cultural events.

Key Features of the Dataset: Comprehensive Coverage:

The dataset aggregates news events from numerous sources such as company press releases, industry news outlets, blogs, PR sites, and traditional news media. This broad coverage ensures a wide range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most recent events, ensuring users have access to the latest news and can stay informed about current developments. Geographic Segmentation:

Events are tagged with their respective countries and regions within Latin America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Latin America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Latin American news and events. Techsalerator’s News Event Data in Latin America is a crucial resource for accessing and analyzing significant news events across the region. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

With the aim of providing a broad-based economic analysis to policy makers and stakeholders, the Economic Institute of Cambodia (EIC) has great pleasure in presenting the latest issue of 'Cambodia economic watch'. This EIC series of publications not only serves as a policy-oriented research paper, but also as a reference for all readers who wish to gain a snapshot of the Cambodian economy or monitor its development. As in previous issues, this edition presents the latest economic performance and prospects based on the analysis of current data from many reliable sources. It takes an in-depth look at the trends of the main economic indicators and the progress of reform policies. It also highlights the urgent measures that need to be taken to address any of the problems encountered. In brief, the global crisis seems to show its severe impact on Cambodia since the last quarter of 2008. Thus, Cambodia's economic growth rate slowed significantly in 2008 due to slower growth of garment industry, construction sector and tourism. These trends are likely to carry over 2009, and thus a lower economic growth rate is also expected accordantly.

Abstract

The social and economic conditions covered in the Palestinian Households Survey represent one of the most important areas of Palestinian official statistics. The main role of the Palestine Central Bureau of Statistics and statistical agencies is to provide data on the conditions experienced by the community. The responses to this survey are designed to meet the needs of users of statistical data related to social and economic development in Palestine and enhance cooperation between the Palestinian Central Bureau of Statistics and the Food and Agriculture Organization of the United Nations, the World Food Program (WFP) and the UN Relief Works Agency for Refugees (UNRWA).

Geographic coverage

Palestine

Analysis unit

Household

Universe

It consists of all Palestinian households and individuals who are staying normally in the state of Palestine during 2015

Kind of data

Sample survey data [ssd]

Sampling procedure

Target Population: All Palestinian households and individuals who normally live with their households in Palestine during 2014, there will be focus on individuals 18 years and over to achieve additional pattern specialized for this group.

Sampling Frame: In previous rounds, it was depended on a sampling frame from 2007 census, which is a list of enumeration areas (EAs) that is a geographic region consists of buildings having housing units with an average of 124 households, EAs will be considered as primary sampling units ( PSUs) in survey design. For the current rounds, drawing the sample will be dependent on the same sampling frame for the previous rounds by fixing the previous sample, and adding number of EAs within the overall frame to enhance representation for some regions.

The information used from international organizations and the Gaza strip office, these information related to damage degree in EAs as assistant information to know how much the sample represents the damage after Gaza strip war 2014.
Sample Size: The estimated sample size 9025 HHs divided as following: 1- Fixing SAFSEC survey 2013 sample, which was estimated by 7503 household in the previous rounds (household-panel) and conducted in January and February 2014. 2- Additional sample 500 households in Gaza Strip and 150 households in West Bank, to enhance sample representation and response rate. 3- Additional sample 89 households in Jerusalem governorate (j1) To compensate for the shortage due to non-response. 4- Sample of new households that consisted of separated individuals 783 households.

Mode of data collection

Face-to-face [f2f]

Research instrument

A special questionnaire was designed in accordance with high quality statistical standards and best practices recommendations; the questionnaire is consist of the following fields: Part one: Identification Data. Part two: Quality Control Data. Part three: Household Members Data. Part four: Housing Data. Part five: Assistance and Coping Strategies Data Part six: Expenditure and Consumption. Part seven: Food diversity and facing food shortage Data. Part eight: Income. Part nine: Agriculture and Livestock Data. Part ten: Freedom of movement Data. Part eleven: Immigration Data. Part twelve: Martyrs Data. Part thirteen: Hosting Data. In addition individual questionnaire 18 years and above including life quality questions

Cleaning operations

Both data entry and tabulation were performed using the Access and SPSS software programs. Data entry was organized corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consisting checks and cross-validation. Complete manual inspection of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for corrections.

Response rate

Response rate was 93.0%

Sampling error estimates

Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and regional level (west bank , gaza strip).

Data appraisal

Non-sampling errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained in how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey and practical and theoretical training during the training course.

Also data entry staff was trained on the entry program that was examined before starting the data entry process. Continuous contacts with the fieldwork team were maintained through regular visits to the field and regular meetings during the different field visits. Problems faced by fieldworkers were discussed to clarify issues and provide relevant instructions.

Key information about Nigeria Gross Fixed Capital Formation

• Nigeria Gross Fixed Capital Formation was reported at 13.883 USD bn in Jun 2024.
• This records a decrease from the previous number of 16.787 USD bn for Mar 2024.
• Nigeria Gross Fixed Capital Formation data is updated quarterly, averaging 19.939 USD bn from Mar 2010 to Jun 2024, with 58 observations.
• The data reached an all-time high of 44.278 USD bn in Mar 2023 and a record low of 11.053 USD bn in Sep 2016.
• Nigeria Gross Fixed Capital Formation data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Nominal GDP: Gross Fixed Capital Formation: USD: Quarterly.

CEIC converts quarterly Gross Fixed Capital Formation into USD. The National Bureau of Statistics provides Gross Fixed Capital Formation in local currency. The Central Bank of Nigeria average market exchange rate is used for currency conversions.

The survey was conducted by the Institute of Sociology "Socio-Express" Center, Russian Academy of Sciences. A National sample of 2,044 adults were interviewed in May and June 1994. Major topics covered: Public assessment of the political and economic situation; attitudes towards state institutions; political parties; movements and leaders; party preferences; self identification; Russian's role in the contemporary world; the assessment of the accord on social reconciliation.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31075625. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

The Mi'kmaq Confederacy of Prince Edward Island (PEI)'s coastal residences, infrastructure and heritage are vulnerable to climate change. For example, storm surges have restricted access to bridges linking the Lennox Island community to the mainland; flooding on Lennox Island has threatened the community's waste water treatment facility; and flooding threatens the economically-important blueberry fields on Lennox Island; warmer ocean temperatures threaten fisheries of economic importance to the communities; flooding threatens pow wow grounds, medicinal plant sites and other areas of important heritage to the communities. Rocky Point faces the same coastal erosion challenges as Lennox Island, while Scotchfort and Morell Rear are impacted by high rainfall events and runoff. This project helped PEI's First Nations communities adapt to changes in climate through increasing the understanding of how climate has impacted the communities in the past, and how they will impact in the future; through engaging communities in discussing the importance of climate in future planning; and through the development of an adaptation strategy for risk and emergency planning purposes. These advances assisted the communities in their social, economic and cultural initiatives by reducing their vulnerability to climate change.

Techsalerator’s Import/Export Trade Data for Oceania

Techsalerator’s Import/Export Trade Data for Oceania provides a thorough and detailed examination of trade activities across the Oceania region. This expansive dataset offers deep insights into import and export transactions involving companies throughout Oceania, covering a diverse range of countries and territories.

Coverage Across All Oceania Countries

The dataset encompasses all key countries and territories within Oceania, including:

Australia and New Zealand:

Australia

Detailed trade data for Australia, including extensive records on import and export transactions, key trading partners, product categories, and economic sectors. New Zealand

Comprehensive data for New Zealand covering its trade activities, including detailed records on exports and imports, major product classifications, and trade relationships. Pacific Island Nations:

Fiji

Trade data for Fiji includes information on its export and import activities, key sectors, and trade dynamics with both regional and global partners. Papua New Guinea

Detailed records on trade transactions for Papua New Guinea, including product descriptions, quantities, values, and trade relationships with major partners. Solomon Islands

Comprehensive trade data covering the Solomon Islands, with insights into its import and export activities and key trading partners. Vanuatu

Data on Vanuatu’s trade flows, including detailed information on its import and export transactions and trade dynamics. Other Pacific Island Nations:

Samoa

Trade data for Samoa includes details on import and export transactions, product categories, and trade relationships. Tonga

Comprehensive data on Tonga’s trade activities, including detailed transaction records and sector-specific trade information. Tuvalu

Detailed trade data for Tuvalu, covering import and export activities, major products, and trade dynamics. Nauru

Trade records for Nauru include detailed insights into import and export transactions and key trading relationships. Kiribati

Data on Kiribati’s trade activities, including import and export details, product classifications, and trading partners. Marshall Islands

Trade data for the Marshall Islands, covering import and export transactions and sector-specific insights. Palau

Comprehensive records on trade for Palau, including detailed import and export information and trade relationships. Federated States of Micronesia

Data on trade activities for the Federated States of Micronesia, including import and export details and major trade partners. Comprehensive Data Features

Transaction Details: The dataset provides granular information on each trade transaction, such as product descriptions, quantities, values, and transaction dates, allowing for precise tracking and analysis of trade flows.

Company Information: Includes details about the companies involved in trade, such as company names, locations, and industry sectors, facilitating targeted market research and business intelligence.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, offering insights into market dynamics and sector-specific trends within Oceania.

Trade Trends: Historical data allows users to analyze trade trends, identify emerging markets, and understand the impact of economic or political events on trade patterns in the region.

Geographical Insights: Provides insights into regional trade flows and cross-border dynamics between Oceania’s countries and their global trade partners, including significant international trade relationships.

Regulatory and Compliance Data: Includes information on trade regulations, tariffs, and compliance requirements, helping businesses navigate the complex regulatory environments within Oceania.

Applications and Benefits

Market Research: Businesses can use the data to discover new market opportunities, analyze competitive landscapes, and understand consumer demand across various Oceania countries and territories.

Strategic Planning: Insights from the data enable companies to develop more effective trade strategies, optimize supply chains, and manage risks associated with international trade in Oceania.

Economic Analysis: Analysts and policymakers can monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development initiatives.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in Oceania’s diverse economies.

Techsalerator’s Import/Export Trade Data for Oceania is an essential resource for organizations involved in international trade, offering a detailed, reliable, and expansive view of trade activities across the Oceania region.

The Transcutaneous Oxygen Monitor market has evolved significantly over the past few years, becoming an essential component in both clinical and home care settings. Designed to non-invasively measure oxygen levels in the blood, these devices play a critical role in the management of patients with respiratory issues,

The precious metals market, encompassing platinum, palladium, gold, silver, and others, exhibits a moderate growth trajectory, with a Compound Annual Growth Rate (CAGR) of 0.75% from 2019 to 2033. While this CAGR might seem modest, it reflects the inherent stability and cyclical nature of this market, significantly influenced by global economic conditions and industrial demand. The market size in 2025 is estimated at $XX million (Assuming a base year market size, adjust this with available information if possible). Key drivers include increasing demand from the automotive, electronics, and jewelry sectors, along with investment in precious metals as a hedge against inflation and economic uncertainty. Emerging trends include the growing adoption of precious metals in medical applications and the development of sustainable and ethical sourcing practices, pushing for greater transparency and traceability within the supply chain. However, fluctuating prices, geopolitical instability, and the potential for substitute materials present challenges and restraints to market growth. The market is segmented by metal type (gold, silver, platinum, palladium, etc.), application (jewelry, electronics, automotive, industrial), and geographic region. Leading companies such as Alfa Aesar, BASF, Johnson Matthey, and Umicore are key players, competing based on product quality, technological innovation, and supply chain efficiency. The market is characterized by consolidation and strategic partnerships as companies seek to secure raw materials and expand their global reach. The forecast period from 2025 to 2033 indicates a continued, albeit gradual, expansion of the precious metals market. This growth will be influenced by factors including evolving technological advancements in various sectors, government policies supporting sustainable mining practices, and shifting consumer preferences. While the relatively low CAGR signals a mature market, niche applications and emerging technologies offer opportunities for specialized players to capture market share and drive innovation. The regional distribution of market share will vary, with North America, Europe, and Asia remaining significant contributors due to robust industrial activity and established jewelry markets. However, the expanding economies of certain developing nations may also present growth opportunities in the coming years. Continuous monitoring of geopolitical events and economic indicators is crucial for accurately predicting future market trends and assessing potential risks. Recent developments include: Recent developments in the market studied will be covered in the final report.. Key drivers for this market are: Accelerating Demand for High-Performance Transportation Fuel, Increasing Investment in Refineries; Other Drivers. Potential restraints include: Accelerating Demand for High-Performance Transportation Fuel, Increasing Investment in Refineries; Other Drivers. Notable trends are: Automotive Segment to Dominate the Market.

Real Time Dust Monitor Market Outlook

The global real-time dust monitor market size is projected to grow from $1.2 billion in 2023 to $2.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.5% during the forecast period. This growth is driven by stringent environmental regulations, increasing industrial activities, and growing public awareness about the health impacts of air pollution.

One of the primary growth factors in the real-time dust monitor market is the escalating regulatory pressure from governments worldwide. Environmental protection agencies in various countries are implementing stringent air quality standards that necessitate continuous monitoring of particulate matter. For instance, the U.S. Environmental Protection Agency (EPA) and the European Environment Agency (EEA) have set rigorous standards that industries must adhere to, thus significantly boosting the demand for real-time dust monitoring solutions. These regulations are not only aimed at reducing industrial pollution but also at safeguarding public health, thereby creating a sustainable market for dust monitoring systems.

Another significant driver is the increasing industrialization and urbanization in emerging economies. Countries such as China, India, and Brazil are witnessing rapid industrial growth, which in turn has led to higher levels of air pollution. As these nations strive to balance economic growth with environmental sustainability, the adoption of real-time dust monitors is expected to rise. Industries such as mining, construction, and manufacturing, which are major contributors to air pollution, are increasingly adopting these technologies to comply with environmental regulations and to minimize their environmental footprint.

The role of a Dust Monitor in this context cannot be overstated. These devices are essential for providing accurate and real-time data on particulate matter in the air, which is crucial for industries to comply with stringent environmental regulations. Dust Monitors are equipped with advanced sensors that can detect even the smallest particles, ensuring that industries can take timely actions to mitigate pollution. The integration of IoT technology in Dust Monitors allows for remote monitoring and data analysis, making them indispensable tools for industries aiming to reduce their environmental footprint and adhere to regulatory standards.

Technological advancements are also playing a crucial role in the growth of the real-time dust monitor market. Innovations in sensor technology, data analytics, and IoT-enabled devices have made dust monitors more accurate, reliable, and user-friendly. Modern dust monitors can provide real-time data, which can be accessed remotely, allowing for timely interventions and better decision-making. Additionally, the integration of machine learning algorithms helps in predictive maintenance and anomaly detection, thus enhancing the overall efficiency of dust monitoring systems.

Regionally, North America and Europe are the leading markets for real-time dust monitors, driven by stringent environmental regulations and high awareness levels. However, the Asia Pacific region is expected to witness the highest growth during the forecast period. This is primarily due to increasing industrial activities, urbanization, and growing environmental concerns in countries like China and India. Government initiatives to improve air quality and public health are also contributing to the market growth in this region.

Product Type Analysis

The real-time dust monitor market can be segmented by product type into portable dust monitors and fixed dust monitors. Portable dust monitors are gaining popularity due to their flexibility and ease of use. These devices are particularly useful in environments where air quality needs to be monitored at multiple locations or where fixed installation is not feasible. Industries such as construction and mining often rely on portable dust monitors to ensure compliance with air quality standards at various project sites. The portability factor also makes these devices suitable for temporary monitoring during specific events or periods of high dust activity.

The emergence of Dust Online Monitor systems is revolutionizing the way industries approach air quality management. These systems provide continuous, real-time data o

Abstract

The Integrated Household Income and Expenditure Survey with Living Standards Measurement Survey 2002-2003 is one of the biggest national surveys carried out in accordance with an international methodology with technical and financial support from the World Bank and United Nations Development Programme.

Background This survey was developed in response to provide the picture of the current situation of poverty in Mongolia in relation to social and economic indicators and contribute toward implementation and progress on National Millennium Development Goals articulated in the National Millennium Development Report and monitoring of the Economic Growth Support and Poverty Reduction Strategy, as well as toward developing and designing future policies and actions. Also, the survey enriched the national database on poverty and contributed in improving the professional capacity of experts and professionals of the National Statistical Office of Mongolia.

Purpose Since the onset of the transition to a market economy of Mongolia our country the need to study changes in people's living standards in relation to household members' demographic situation, their education, health, employment and household engagement in private enterprises has become extremely important. With that purpose and with the support of the World Bank and the United Nations Development Programme, the National Statistical Office of Mongolia conducted the Integrated Household Income and Expenditure Survey with Living Standards Measurement Survey-like features between 2002 and 2003. In conjunction with LSMS household interviews the NSO also collected a price and a community questionnaire in each selected soum. The latter collected information on the quality of infrastructure, and basic education and health services.

Main importance of the survey is to provide policy makers and decision makers with realistic information about poverty and will become a resource for experts and researchers who are interested in studying poverty as well as social and economic issues of Mongolia.

In July 2003 the Government of Mongolia completed the Economic Growth and Poverty Reduction Strategy Paper in which the Government gave high priority to the fight against poverty. As part of that commitment this paper is a study that intends to monitor poverty and understand its main causes in order to provide policy-makers with useful information to improve pro-poor policies.

Content The Integrated HIES with LSMS design has the peculiarity of being a sub-sample of a larger survey, namely the Household Income and Expenditure Survey 2002. Instead of administering an independent consumption module, the Integrated HIES with LSMS 2002-2003 depends on the HIES 2002 information on household consumption expenditure. This is why the survey is referred as Integrated HIES with LSMS 2002-2003. This survey is the only source of information of income-poverty, and the questionnaire is designed to provide poverty estimates and a set of useful social indicators that can monitor more in general human development, as well as more specific issues on key sectors, such as health, education, and energy. And, the price and social survey, in conjunction with LSMS household interviews, collected information on the quality of infrastructure, and basic education and health services of each selected soum.

HIES - food expenditure and consumption, non-food expenditure, other expense, income LSMS - general information, household roster, housing, education, employment, health, fertility, migration, agriculture, livestock, non-farm enterprises, other souces of income, savings and loans, remittances, durable goods, energy PRICE SURVEY - prices of household consumer goods and services SOCIAL SURVEY - population and households, economy and infrastructure, education, health, agriculture and livestock, and non-agricultural business

Survey results The final report of this survey has main results on key poverty indicators, used internationally, as they relate to various social sectors. Its annexes contain information regarding the consumption structure, poverty lines along with the methodology used, as well as some statistical indicators.

The main contributions of this survey report are: - new poverty estimates based on the latest available household survey, the Integrated HIES with LSMS 2002-2003 - the implementation of appropriate, and internationally accepted, methodologies in the calculation of poverty and its analysis (these methodologies may constitute a reference for the analysis of future surveys) - a 'poverty profile' that describes the main characteristics of poverty

The first section of the report provides information on the Mongolian economic background, and presents the basic poverty measures that are linked to the economic performance to offer an indication of what happened to poverty and inequality in recent years. A second section goes in much more detail in generating and describing the poverty profile, in particular looking at the geographical distribution of poverty, poverty and its correlation with household demographic characteristics, characteristics of the household head, employment, and assets. A final section looks at poverty and social sectors and investigates various aspects of education, health and safety nets. The report contains also a number of useful, but more technical appendixes with information about the HIES-LSMS 2002-2003 (sample design and data quality), on the methodology used to construct the basic welfare indicator, and set the poverty line, some sensitivity analysis, and additional statistical information.

Geographic coverage

The survey is nationally representative and covers the whole of Mongolia.

Analysis unit

• Household (defined as a group of persons who usually live and eat together)
• Household member (defined as members of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)
• Selected soums (for collecting prices of household consumer goods and services and information on quality of infrastructure, basic education, health services and so on)

Universe

The survey covered selected households and all members of the households (usual residents). And the price and social surveys covered all selected soums.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Integrated HIES with LSMS 2002-2003 households are a subset of the household interviewed for the HIES 2002. One third of the HIES 2002 households were contacted again and interviewed on the LSMS topics. The subset was equally distributed among the four quarters.

The HIES 2002, and consequently the Integrated HIES with LSMS 2002-2003, used the 2000 Census as sample frame. 1,248 enumerations areas were part of the sample, which is a two-stage stratified random sample. The strata, or domains of estimation, are four: Ulaanbaatar, Aimag capitals and small towns, Soum centres, and Countryside. At a first stage a number of Primary Sampling Units (PSUs) were selected from each stratum. In the selected PSUs enumerators listed all the households residing in the area, and in a second stage households were randomly selected from the list of households identified in that PSU (10 households were selected in urban areas and 8 households in rural areas).

It should be noted that non-response case of households once selected for the survey exerts unfavorable influence on the representativeness of the survey. Therefore an enumerator should take every step to avoid that. To obtain true and timely survey results a proper agreement should be reached with a selected household before a survey starts. One of the main reasons of non-response is that an enumerator doesn't meet with the household members who are able to give the required information. An enumerator should visit a household at least 3 times within the given period to take the questionnaire.

Another common reason is that a household refuses to participate in the survey. In this case an enumerator should explain the purpose of the survey again, explain that the private data will be kept strictly confidential according to the corresponding law. If necessary an enumerator can ask local statistical division or local administration for the help. However this practice is very seldom.

If there is no possibility to take the questionnaires from the selected households due to weather conditions or disasters, reserved households with numbers 11, 12, 13 respectively from the list provided by the NSO should replace the omitted ones. However the reasons of replacements are to be declared in detail on the form.

Sampling deviation

At the planning stage the time lag between the HIES and LSMS interviews was expected to be relatively short. However, for various reasons it is on average of about 9 months, and for some households more than one year. Households interviewed in the first and second quarter of 2002 were generally re-interviewed in March and April 2003, while households of the third and fourth quarter of 2002 were re-interviewed in May, June and July of 2003. The considerable time lag between HIES and LSMS interviews was the main responsible for a considerable loss of households in the LSMS sample, households that could not be easily relocated and therefore re-interviewed. Due also to some incomplete questionnaires, the number of households that were used for the final poverty analysis is 3,308.

Mode of data collection

Face-to-face [f2f]

Research instrument

A

Abstract

This report presents the final results from the last seven scientific rounds of the Tanzania High Frequency Welfare Monitoring Phone Survey (THFWMPS) which was conducted by the National Bureau of Statistics (NBS) and Office of Chief Government Statistician (OCGS) Zanzibar, in collaboration with World Bank (WB) and the Research on Poverty Alleviation (REPOA). The key findings from these high frequency survey rounds are intended to be used to monitor and mitigate the negative impacts of the emerging crisis such as pandemics on the economic and population wellbeing of the country.

Round 6 to 12 comprises findings from the following key areas; Demographic Characteristics, Employment Status and Reasons for Not Working, Economic Sentiments, Natural Disasters and Climate Events, Access to Essential Goods and Services, Types of Shocks Experienced by Households ( Environmental Shocks and Agricultural Shocks), Transportation Usage for Different Locations in Tanzania (Market Transportation, Workplace and School Transportation and Transport use for health facilities), Household Subjective Welfare Situation , Crop Production and Livestock.

The objective of Round 12 is divided into two aspects: testing the installed call center gadgets and conducting the Round 12 phone survey. The installed gadgets at the call center were tested to gain insight into how well the center functions and to identify areas for improvement, whether in customer experience, agent performance, or technical infrastructure. The objective of the Round 12 phone survey was to gather timely data to fill information gaps and support evidence-based decision-making for welfare monitoring and understanding the impacts of crises, such as extreme weather events, epidemics, pandemics and any other crises occurred.

Geographic coverage

National

Analysis unit

Household Individuals

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories

Kind of data

Sample survey data [ssd]

Sampling procedure

Phase one of the Tanzania High Frequency Welfare Monitoring Panel Survey (THFWMPS I) draws its sample from various previous face-to-face surveys, including the Mainland Household Budget Survey (HBS) 2017/18, the Zanzibar HBS 2019/20, and the National Panel Survey (NPS) 2014. The inclusion of telephone numbers from most participants of these surveys provides the foundation for the survey sample.

The target for monthly sample completion is approximately 3,000 households. The NPS serves as the primary sample frame, supplemented by the Mainland and Zanzibar HBS. For THFWMPS Phase II, the sample frame comprises respondents from Phase I who did not explicitly refuse to participate (2,200 households), alongside additional households from the 2021 Booster sample of NPS Wave 5 (NPS 5) households with available phone numbers.

The Survey Round twelfth conducted from October - November 2024 includes a total of 2,489 households, contributing to the continued monitoring welfare within Tanzanian households

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Round 6 questionnaire The questionnaire gathers information on demographics; employment; non-farm enterprise; COVID-19 Vaccine; access to health services; and youth contact details. The contents of questionnaire are outlined below:

Cover: Household identifiers and enumerator identifiers Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to. Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left. Employment (respondent): Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual. Economic Sentiments: How household feels about past and future household economic situation, past and future country economic situation, past and future consumer prices, major household purchases, extreme weather shocks to household’s financial status in the future. Food Prices: Availability of specific food items in the country, current price of the item, as well as price of the same item 30 days prior. Fuel Prices: Household has ever bought petrol/diesel, last time household purchased petrol, difficulties encountered when purchasing petrol. Recontact: Data on how the household can be recontacted in the future, including phone number, time of day they can be reached in the future. Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview.

Round 7 questionnaire The questionnaire gathers information on demographics; employment; economic sentiments; access to essential goods and services; food prices; energy prices; transportation prices; food insecurity; dietary diversity, and subjective welfare. The contents of questionnaire are outlined below:

Cover: Household identifiers and enumerator identifiers Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to. Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left. Employment (respondent): Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual. Economic Sentiments: Household interpretations of past and future household economic situation, past and future country economic situation, past and future consumer prices, major household purchases, and extreme weather shocks to household’s financial status in the future. Access to Goods and Services: Household’s access to staple foods (maize grain, cassava, rice, and maize flour), essential goods (medicine, soap, fuel/gasoline, and fertilizers) and reasons for not being able to access the goods and services. Food Prices: Availability of specific food items in the country, current price of the item, as well as price of the same item 30 days prior. Energy Prices: Household purchases of energy/fuel (petrol, diesel, LPG, kerosene), last purchase of energy/fuel, number of liters purchased, total amount paid, and changes in the price in the last month. Transportation Prices: Mode of transportation for selected destinations, amount paid in total, as well as changes in the price in last month. Subjective Welfare: How the household feels about their food consumption, housing, clothing, health care, and the level of current household income over the past one month. Food Insecurity: Household’s food security status during the last 30 days. Dietary Diversity: Household’s consumption of a variety of food groups over the last 7 days, as well as how the food was acquired. Recontact Information: Data on how the household can be recontacted in the future, including phone number, time of day they can be reached in the future. Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview.

Round 8 questionnaire The questionnaire gathers information on demographics; employment; economic sentiments; access to essential goods and services; food prices; energy prices; transportation prices; food insecurity; dietary diversity, and subjective welfare. The contents of questionnaire are outlined below:

Cover: Household identifiers and enumerator identifiers Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to. Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left. Employment (respondent): Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual. Economic Sentiments: Household interpretations of past and future household economic situation, past and future country economic situation, past and future consumer prices, major household purchases, and extreme weather shocks to household’s financial status in the future. Non-Farm Enterprise: Status and information of non-farm income-generating activities, reason for stopped operating, reason for not able to perform activities as usual, and reason for reduced revenue from family business Access to Goods and Services: Household’s access to staple foods (maize grain, cassava, rice, and maize flour), essential goods (medicine, soap, fuel/gasoline, and fertilizers) and reasons for not being able to access the goods and services. Food Prices: Availability of specific food items in the country, current price of the item, as well as price of the same item 30 days prior. Energy Prices: Household purchases of energy/fuel (petrol, diesel, LPG, kerosene), last purchase of energy/fuel, number of liters purchased, total amount paid, and changes in the price in the last