During a 2024 survey among marketers worldwide, approximately 83 percent selected increased exposure as a benefit of social media marketing. Increased traffic followed, mentioned by 73 percent of the respondents, while 65 percent cited generated leads.

              The multibillion-dollar social media ad industry

              Between 2019 – the last year before the pandemic – and 2024, global social media advertising spending skyrocketed by 140 percent, surpassing an estimated 230 billion U.S. dollars in the latter year. That figure was forecast to increase by nearly 50 percent by the end of the decade, exceeding 345 billion dollars in 2029. As of 2024, the social media networks with the most monthly active users were Facebook, with over three billion, and YouTube, with more than 2.5 billion.

              Pros and cons of GenAI for social media marketing

              According to another 2024 survey, generative artificial intelligence's (GenAI) leading benefits for social media marketing according to professionals worldwide included increased efficiency and easier idea generation. The third place was a tie between increased content production and enhanced creativity. All those advantages were cited by between 33 and 38 percent of the interviewees. As for GenAI's top challenges for global social media marketing,
              maintaining authenticity and the value of human creativity ranked first, mentioned by 43 and 40 percent of the respondents, respectively. Another 35 percent deemed ensuring the content resonates as an obstacle.

This dataset includes the number of people enrolled in DSS services by town and by race from CY 2015-2024. To view the full dataset and filter the data, click the "View Data" button at the top right of the screen. More data on people served by DSS can be found here. About this data For privacy considerations, a count of zero is used for counts less than five. A recipient is counted in all towns where that recipient resided in that year. Due to eligibility policies and operational processes, enrollment can vary slightly after publication. Please be aware of the point-in-time nature of the published data when comparing to other data published or shared by the Department of Social Services, as this data may vary slightly. Notes by year 2021 In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately. 2018 On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, the methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This resulted in a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree. On February 14, 2019 the enrollment counts for 2012-2015 across all programs were updated to account for an error in the data integration process. As a result, the count of the number of people served increased by 13% for 2012, 10% for 2013, 8% for 2014 and 4% for 2015. Counts for 2016, 2017 and 2018 remain unchanged. On January 16, 2019 these counts were revised to count a recipient in all locations that recipient resided in that year. On January 1, 2019 the counts were revised to count a recipient in only one town per year even when the recipient moved within the year. The most recent address is used.

This dataset provides information on Benefits Amounts for Income Supplement and the Allowances according to income level and marital status. This is updated on a quarterly basis. The following tables of amounts will provide you with the amount of your monthly benefit, which will be based on your age, income level and marital status. The dataset is updated for October - December 2025 quarter.

This report provides information at the state and town level of people served by the Connecticut Department of Social Services for the Calendar Years 2012-2024 by demographics (gender, age-groups, race, and ethnicity) at the state and town level by Medical Benefit Plan (Husky A-D, Husky limited benefit, MSP and Other Medical); Assistance Type (Cash, Food, Medical, Other); and Program (CADAP, CHCPE, CHIP, ConnTRANS, Medicaid, Medical, MSP, Refugee Cash, Repatriation, SAGA, SAGA Funeral, SNAP, Social Work Services, State Funded Medical, State Supplement, TFA). NOTE: On March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. Effective January 1, 2021, this coverage group have been separated: (1) the COVID-19 Testing Coverage for the Uninsured is now G06-I and is now listed as a limited benefit plan that rolls up into “Program Name” of Medicaid and “Medical Benefit Plan” of HUSKY Limited Benefit; (2) the emergency medical coverage has been separated into G06-II as a limited benefit plan that rolls up into “Program Name” of Emergency Medical and “Medical Benefit Plan” of Other Medical. NOTE: On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, the methodology for determining the address of the recipients has changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. 2. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This change in methodology causes a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree. NOTE: On February 14 2019, the enrollment counts for 2012-2015 across all programs were updated to account for an error in the data integration process. As a result, the count of the number of people served increased by 13% for 2012, 10% for 2013, 8% for 2014 and 4% for 2015. Counts for 2016, 2017 and 2018 remain unchanged.

The increase in current-dollar personal income in November primarily reflected an increase in compensation that was partly offset by decreases in personal income receipts on assets and personal current transfer receipts (table 2).

The $81.3 billion increase in current-dollar PCE in November reflected an increase of $48.3 billion in spending for goods and an increase of $33.0 billion in spending for services (table 2). Within goods, the largest contributors to the increase were motor vehicles and parts (led by new motor vehicles) and recreational goods and vehicles (led by video, audio, photographic and information processing equipment and media). Within services, the largest contributors to the increase were spending for financial services and insurance (led by financial service charges, fees, and commissions); recreation services (led membership clubs, sports centers, parks, theaters and museums as well as gambling); and health care (led by hospitals). Detailed information on monthly PCE spending can be found on Table 2.4.5U.

Personal outlays—the sum of PCE, personal interest payments, and personal current transfer payments—increased $78.2 billion in November (table 2). Personal saving was $968.1 billion in November and the personal saving rate—personal saving as a percentage of disposable personal income—was 4.4 percent (table 1).

Prices

From the preceding month, the PCE price index for November increased 0.1 percent (table 5). Prices for goods increased less than 0.1 percent and prices for services increased 0.2 percent. Food prices increased 0.2 percent and energy prices also increased 0.2 percent. Excluding food and energy, the PCE price index increased 0.1 percent. Detailed monthly PCE price indexes can be found on Table 2.4.4U.

From the same month one year ago, the PCE price index for November increased 2.4 percent (table 7). Prices for goods decreased 0.4 percent and prices for services increased 3.8 percent. Food prices increased 1.4 percent and energy prices decreased 4.0 percent. Excluding food and energy, the PCE price index increased 2.8 percent from one year ago.

Real PCE

The 0.3 percent increase in real PCE in November reflected an increase of 0.7 percent in spending on goods and an increase of 0.1 percent in spending on services (table 4). Within goods, the largest contributors to the increase were recreational goods and vehicles (led by video, audio, photographic and information processing equipment and media) and motor vehicles and parts (led by new motor vehicles). Within services, the largest contributors to the increase were recreation services (led by gambling as well as membership clubs, sports centers, parks, theaters and museums). Detailed information on monthly real PCE spending can be found on Table 2.4.6U.

Understanding Chicks’ Emotions: Are Eye Blinks & Facial Temperatures Reliable Indicators?

doi: https://doi.org/10.1101/2022.01.31.478468

In commercial farming systems, chicks are often raised without a mother. This lack of maternal presence can lead to welfare issues as they mature. The imprinting process, which happens when chicks are young and forms the foundation for their stress and fear responses, heavily involves their mothers. Therefore, it's crucial to identify potential issues early in a chick's development to prevent welfare complications later on.

One effective way to gauge welfare is by evaluating affective states. Studies indicate that chickens are capable of displaying empathy, not only towards their offspring but also their fellow species. Consequently, observing negative and positive affective states, whether behavioral or physiological, could provide valuable insights into their welfare.

This particular study used non-invasive methods to evaluate the affective states in laying hen chicks. We used video and thermal imaging technology to examine temperature fluctuations in the chicks' peripheral areas and head region, along with changes in blinking behavior before and after exposure to a stressor.

The hypothesis was that stress would trigger a decrease in temperature in the eye and peripheral regions, accompanied by a reduction in the blinking rate, all of which would suggest a negative affective state. Our findings confirmed that the eye temperature and blinking rate both decreased under stress, whereas temperatures increased in the head region and the beak area. This pattern of physiological responses could suggest a negative affective state in these chicks.

If you’re a senior with low income, you may qualify for monthly Guaranteed Annual Income System payments.

Maximum payment and allowable private income amounts for the period from July 1, 2025 to June 30, 2026 are:

• $90 monthly for single seniors (maximum monthly payment amount), your annual private income must be less than $4,320
• $180 monthly for senior couples (maximum monthly payment amount), your annual private income must be less than $8,640

The data is organized by private income levels. GAINS payments are provided on top of the Old Age Security (OAS) pension and the Guaranteed Income Supplement (GIS) payments you may receive from the federal government.

Learn more about the Ontario Guaranteed Annual Income System

This data is related to The Retirement Income System in Canada

Join the Ontario Ministry of Finance for a free webinar to help you learn about tax credits, benefits, and other programs available to support Ontario seniors with a low income. Visit ontario.ca/TaxTalk to learn more.

Techsalerator’s Business Funding Data for Guinea Bissau

Techsalerator’s Business Funding Data for Guinea Bissau provides a comprehensive and insightful collection of information essential for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of the funding activities of companies across various sectors in Guinea Bissau, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Guinea Bissau

Techsalerator’s Business Funding Data for Guinea Bissau offers a detailed and insightful overview of crucial information for businesses, investors, and financial analysts. This dataset provides an in-depth examination of funding activities across various sectors in Guinea Bissau, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

Company Name: Identifies the company receiving funding. This information helps investors identify potential opportunities and allows analysts to monitor funding trends within specific industries.

Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts reveals insights into the financial health and growth potential of businesses and the scale of investment activities.

Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Guinea Bissau

Agriculture and Agribusiness: Significant investments are being directed toward the agricultural sector, a key driver of the country’s economy. Funding focuses on improving agricultural productivity and introducing modern farming practices.

Infrastructure Development: Investments are being made in infrastructure projects, including transportation and energy sectors, critical for Guinea Bissau’s economic development and regional connectivity.

Telecommunications and Digital Connectivity: With growing demand for better digital infrastructure, the telecommunications sector is attracting funding to improve connectivity and expand digital services, driving growth in the digital economy.

Renewable Energy: There is a growing interest in renewable energy projects, with funding aimed at solar and other sustainable energy sources to address the country’s energy needs and reduce reliance on imports.

Healthcare and Social Services: Increased funding is flowing into healthcare projects, aimed at improving access to medical services, healthcare infrastructure, and the provision of essential services in rural areas.

Top 5 Companies with Notable Funding Data in Guinea Bissau

Guinée-Tel: A major player in Guinea Bissau’s telecommunications sector, Guinée-Tel has received significant funding to expand its network coverage and improve digital services.

Bank of Africa Guinea Bissau: This financial institution has secured investment to expand its operations, enhance its digital banking services, and support financial inclusion in the country.

Casa do Agricultor: A prominent agribusiness firm, Casa do Agricultor has attracted funding for expanding its operations and modernizing farming practices across the country.

Electricidade de Guinea Bissau (EDGB): The national electricity provider has received funding to develop renewable energy projects and improve the country’s energy infrastructure.

Guinea Bissau Red Cross: The humanitarian organization has secured funding to expand its healthcare services, provide disaster relief, and improve healthcare access in underserved regions.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Guinea Bissau, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

Company Name
Funding Amount
Funding Round
Investor Name
Investment Date
Funding Type (Equity, Debt, Grants, etc.)
Sector Focus
Deal Structure
Investment Stage
Contact Information

For detailed insights into funding activities and financial trends in Guinea Bissau, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

The Women, Infants and Children (WIC) Program is a federally-funded health and nutrition program that provides assistance to pregnant women, new mothers, infants and children under age five. WIC helps California families by providing food benefits to individual participants based on their nutritional need and risk assessment. The food benefits can be used to purchase healthy supplemental foods from about 4,000 WIC authorized vendor stores throughout the State. WIC also provides nutritional education, breastfeeding support, healthcare referrals and other community services. Participants must meet income guidelines and other criteria. Currently, 84 WIC agencies provide services monthly to approximately one million participants at over 500 sites in local communities throughout the State.

Prior to June 2019, WIC issued paper food instruments (FIs) to individual participants for purchasing supplemental, nutritious foods. Beginning in June 2019, California WIC began transitioning to a new food delivery system, replacing the FI delivery system with the Electronic Benefit Transfer (EBT) system. California WIC completed this transition in March 2020. With the previous FI delivery system, participants were issued three or four paper FIs per month listing the foods that could be redeemed at authorized vendor stores. In order to take full advantage of their benefits in the FI delivery system, participants had to purchase all of the foods listed on a FI in a single transaction or lose that benefit. In contrast, in the EBT system a family’s benefits are combined and uploaded to one EBT card. Participants can use this card to purchase WIC foods as needed through the benefit expiry date without having to purchase foods that they don’t need yet and without risking losing their benefits.

The data files provided contain monthly and annual redemption information from the FI delivery system and the EBT system by the county in which WIC participants redeemed their food benefits. Because FIs are issued and redeemed at the participant level, the FI redemption data are presented with aggregation at the participant level (e.g., participant category). However, because EBT redemptions only occur at the family level, EBT data can only be presented with aggregation at the family level. Therefore, we provide two types of aggregated data:

1. WIC Redemption by Vendor County by Participant Category contains the number of FIs redeemed, the dollar amount of FIs redeemed, and the count of unique individual participants, from 2010 to 2018. This data is no longer available beyond 2018 due to transitioning from the FI delivery system to the EBT system.

2. WIC Redemption by Vendor County with Family Counts contains data from before and after the EBT transition period (i.e., 2010 – present), and provides the count of unique families instead of participants. It comprises three parts:

   • Part A contains only FI redemption data from 2010 to 2018;
   • Part B contains both the FI redemption data and the EBT redemption data for the EBT transition period that occurred in 2019 and 2020;
   • Part C contains only EBT redemption data for 2021 and forward.

The dollar amount of redemptions and the number of families redeeming benefits are expected to vary from month to month. Many of these monthly variations can be attributed to the number of days and holidays in a month. Additionally, in June 2021 the federal government approved a Cash Value Benefits (CVB) expansion, which resulted in a large increase in monthly EBT redemption amounts. The initial CVB expansion was implemented in California from June 2021 to September 2021 and provided $35 per month for all non-infant participants, increased from $9 - $11. The CVB expansion was subsequently extended several times. Effective October 1, 2023, CVB was set at new inflation-adjusted amounts where pregnant and postpartum individuals receive $47 per month, breastfeeding individuals receive $52 per month, individuals breastfeeding more than one infant receive $78 per month, and children ages 1-5 received $26 per month.

To ensure WIC participant and vendor anonymity, the redemption data has been suppressed when number of WIC vendors were less than 3 or number of redeemed participants or families were less than 11. The suppressed cells are annotated as “–“.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

Techsalerator’s Business Funding Data for Eritrea

Techsalerator’s Business Funding Data for Eritrea provides a comprehensive and insightful collection of information crucial for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of the funding activities of companies across various sectors in Eritrea, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Eritrea

Techsalerator’s Business Funding Data for Eritrea presents a detailed and insightful overview of essential information for businesses, investors, and financial analysts. This dataset offers a thorough examination of funding activities across different sectors in Eritrea, detailing data related to funding rounds, investment sources, and significant financial milestones.

Top 5 Key Data Fields

Company Name: Identifies the company receiving funding. This information helps investors pinpoint potential opportunities and enables analysts to track funding trends within specific industries.

Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts offers insights into the financial health and growth potential of businesses and the scale of investment activities.

Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors evaluate a business’s maturity and growth trajectory.

Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps assess the credibility of the funding source and their strategic interests.

Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Eritrea

Infrastructure Development: Significant investments are being made in infrastructure projects, including roads, bridges, and energy projects. These investments are vital for the country’s economic growth and stability.

Agriculture and Agritech: With agriculture being a key component of Eritrea’s economy, funding is directed towards modernizing agricultural practices through agritech, focusing on sustainability and productivity enhancements.

Telecommunications and Digital Connectivity: The telecom sector in Eritrea is attracting investment, with efforts to improve digital connectivity and access to information, which is crucial for economic development and social inclusion.

Healthcare and Pharmaceuticals: Increased funding is flowing into healthcare infrastructure, pharmaceuticals, and health tech to address the healthcare needs of the population and to support medical research and innovation.

Education and Vocational Training: Funding is being allocated to educational initiatives and vocational training programs aimed at improving literacy rates, enhancing skills, and creating employment opportunities.

Top 5 Companies with Notable Funding Data in Eritrea

EriTel: Eritrea’s leading telecommunications provider, EriTel, has received significant funding to expand its network coverage, improve digital services, and support community initiatives.

Eritrean Bank: This financial institution has attracted substantial investment to enhance its banking services, expand its reach across the country, and promote financial inclusion.

Red Sea Trading Corporation: Known for its contributions to various sectors, including trade and logistics, this company has secured funding to expand its operations and enhance service delivery.

Eritrean Health Services: This organization has garnered funding to improve healthcare services, support medical research, and expand access to healthcare facilities.

Eritrean Development Fund: A key player in national development projects, the fund has received notable investment to support infrastructure and social projects aimed at economic growth and stability.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Eritrea, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

Company Name Funding Amount Funding Round Investor Name Investment Date Funding Type (Equity, Debt, Grants, etc.) Sector Focus Deal Structure Investment Stage Contact Information For detailed insights into funding activities and financial trends in Eritrea, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

This statistical release makes available the most recent Mental Health and Learning Disabilities Dataset (MHLDDS) final monthly data (July 2015). This publication presents a wide range of information about care delivered to users of NHS funded secondary mental health and learning disability services in England. The scope of the Mental Health Minimum Dataset (MHMDS) was extended to cover Learning Disability services from September 2014. Many people who have a learning disability use mental health services and people in learning disability services may have a mental health problem. This means that activity included in the new MHLDDS dataset cannot be distinctly divided into mental health or learning disability spells of care - a single spell of care may include inputs from either of both types of service. We will be working with stakeholders to define specific information and reporting requirements relating to specific services or groups of patients. Four new measures have been added to this release to help with interpretation of the data. At local level these contextual figures will provide an indication of the increased caseload that could be attributed to the extension of the dataset to cover LD services. Information on these measures can found in the Announcement of Change paper which accompanies this release. The Currencies and Payment file that forms part of this release is specifically limited to services in scope for currencies and payment in mental health services and remains unchanged. This information will be of particular interest to organisations involved in delivering secondary mental health and learning disability care to adults and older people, as it presents timely information to support discussions between providers and commissioners of services. The MHLDS Monthly Report also includes reporting by local authority for the first time. For patients, researchers, agencies, and the wider public it aims to provide up to date information about the numbers of people using services, spending time in hospital and subject to the Mental Health Act (MHA). Some of these measures are currently experimental analysis. The Currency and Payment (CaP) measures can be found in a separate machine-readable data file and may also be accessed via an on-line interactive visualisation tool that supports benchmarking. This can be accessed through the related links at the bottom of the page. This release also includes a note about the new experimental data file and the issuing of the ISN for the Mental Health Services Dataset (MHSDS).