The migration of data to public cloud services continues to evolve, with varying approaches across different data types. A 2024 survey reveals that 37 percent of organizations plan to move all their nonsensitive analytics data to cloud or software as a service (SaaS) platforms. However, sensitive information like corporate financial data remains more firmly rooted on-premises, with 20 percent of organizations keeping it entirely local. Cloud service market growth The cloud services market is experiencing significant expansion, particularly in infrastructure as a service (IaaS). Forecasts indicate a 33 percent growth in IaaS for 2024 compared to 2022, outpacing the overall public cloud services market's expected 20 percent growth. This trend is reflected in the robust performance of major tech companies, with Microsoft leading the pack as the top SaaS company by market capitalization at 3 trillion U.S. dollars in May 2024. Enterprise cloud adoption strategies Organizations are increasingly focused on optimizing their cloud usage, with 60 percent of respondents in 2024 prioritizing cost savings in their cloud initiatives. Simultaneously, 58 percent are committed to migrating more workloads to the cloud, indicating a continued shift towards cloud-based operations. This strategic approach aligns with the diverse cloud adoption patterns observed across different data types, as companies balance the benefits of cloud services with the need for data security and compliance.

This dashboard shows information about how the Pig movement reports service is currently performing.

This is a "beta" service. The dashboard shows number of digital transactions, total cost of transactions, cost per transaction and take-up of digital services. Performance Dashboards are likely to be used by many people, including:

government service managers and their teams journalists students and researchers members of the public interested in how public services are performing The service also provides the option of a download of the data. Attribution statement:

The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries.

The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff.

The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include:
• Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines
• Policy-related: government coordination and legal authorization, public communications and education, movement restrictions
• Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces
• Economic measures: economic and social measures, logistics / supply chains and security.

We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database.

Comments on the data can be submitted to covid.database.comments@dalberg.com
Questions can be submitted to covid.database.questions@dalberg.com

www.dalberg.com

Performance information is overwhelmingly used in program evaluation by both public managers and external stakeholders. In the market-based New Public Management movement, effectiveness is public programs’ major selling point. However, this approach may marginalize the role of democratic values in governance. In the current complex society with anti-government sentiments, we embrace the idea of New Public Service to reiterate the importance of democratic values. Using a conjoint experiment, we compare the effects of effectiveness and democratic values in predicting public program evaluation, conditioned on citizens’ trust in government. Our results show that effectiveness and democratic values contribute similar effects in explaining policy preferences. Distrust in government strengthens the effect of democratic values but reduces the effect of effectiveness. Our findings challenge the prevalent effectiveness centric framework in public management. We suggest that citizen-state interaction should not rely only on performance merits, but also on inclusiveness and openness values.

Hong Kong IT Fund: Year to Date: Other Cash Movements data was reported at -19,273.738 HKD mn in Sep 2018. This records a decrease from the previous number of 265.794 HKD mn for Jun 2018. Hong Kong IT Fund: Year to Date: Other Cash Movements data is updated quarterly, averaging 202.974 HKD mn from Mar 2000 (Median) to Sep 2018, with 62 observations. The data reached an all-time high of 6,351.282 HKD mn in Sep 2016 and a record low of -19,273.738 HKD mn in Sep 2018. Hong Kong IT Fund: Year to Date: Other Cash Movements data remains active status in CEIC and is reported by The Treasury. The data is categorized under Global Database’s Hong Kong SAR – Table HK.F014: Government Fund: Innovation and Technology Fund.

The Assessment Capacities Project (ACAPS) provides independent, high-quality, and timely humanitarian analysis to enable crisis responders to better understand and address the needs of the affected population. ACAPS' COVID19 Government Measures Dataset compiles the measures implemented by governments worldwide in response to the coronavirus pandemic. The measures fall into five categories: social distancing, movement restrictions, public health measures, social and economic measures, and lockdowns. Data are compiled by consultation with government, media, the United Nations, and other organizational sources.

Mass movement**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Canada Aircraft Movements: Itinerant: Domestic: Government: Military data was reported at 2,410.000 Unit in Sep 2022. This records a decrease from the previous number of 3,835.000 Unit for Aug 2022. Canada Aircraft Movements: Itinerant: Domestic: Government: Military data is updated monthly, averaging 3,218.000 Unit from Jan 1997 (Median) to Sep 2022, with 309 observations. The data reached an all-time high of 8,708.000 Unit in Jul 2019 and a record low of 830.000 Unit in Dec 2019. Canada Aircraft Movements: Itinerant: Domestic: Government: Military data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.TA013: Aircraft Movements: Monthly. [COVID-19-IMPACT]

Please Note: As announced by the Minister for Immigration and Border Protection on 25 June 2017, the Department of Immigration and Border Protection (DIBP) retired the paper-based Outgoing Passenger Cards (OPC) from 1 July 2017. The information previously gathered via paper-based outgoing passenger cards is now be collated from existing government data and will continue to be provided to users. Further information can be accessed here: http://www.minister.border.gov.au/peterdutton/Pages/removal-of-the-outgoing-passenger-card-jun17.aspx.

Due to the retirement of the OPC, the Australian Bureau of Statistics (ABS) undertook a review of the OAD data based on a new methodology. Further information on this revised methodology is available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/3401.0Appendix2Jul%202017?opendocument&tabname=Notes&prodno=3401.0&issue=Jul%202017&num=&view=

A sampling methodology has been applied to this dataset. This method means that data will not replicate, exactly, data released by the ABS, but the differences should be negligible.

Due to ‘Return to Source’ limitations, data supplied to ABS from non-DIPB sources are also excluded.

Overseas Arrivals and Departures (OAD) data refers to the arrival and departure of Australian residents or overseas visitors, through Australian airports and sea ports, which have been recorded on incoming or outgoing passenger cards. OAD data describes the number of movements of travellers rather than the number of travellers. That is, multiple movements of individual persons during a given reference period are all counted. OAD data will differ from data derived from other sources, such as Migration Program Outcomes, Settlement Database or Visa Grant information. Travellers granted a visa in one year may not arrive until the following year, or may not travel to Australia at all. Some visas permit multiple entries to Australia, so travellers may enter Australia more than once on a visa. Settler Arrivals includes New Zealand citizens and other non-program settlers not included on the Settlement Database. The Settlement Database includes onshore processed grants not included in Settler Arrivals.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

Overview

Huq Industries is delighted to introduce our premium Daily Footfall Data feed, expertly tailored to meet the needs of real estate professionals, investors, retailers, and government bodies focused on local economic forecasting. Our product offers extensive insights into foot traffic patterns across the UK, covering over 2,741 retail centres and utilising more than 1.1 million H3 hexbins at Level 12 resolution. With a robust client base of over 600 satisfied customers, our data is a trusted resource for making informed decisions across various sectors.

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Why Choose Huq Industries' Footfall Data?

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Foot Traffic Measurement

For accurate foot traffic measurement, our data provides detailed insights into visitor numbers, peak times, and movement patterns. This information is invaluable for assessing the performance of retail locations, understanding consumer behaviour, and optimising store layouts and operations.

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Investors can utilise our data for property investment decisions, gaining insights into market demand, foot traffic trends, and consumer behaviour. This information is crucial for identifying high-potential investment opportunities and mitigating risks.

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Our data supports asset tracking, enabling real-time monitoring and assessment of property performance. By understanding foot traffic patterns and consumer behaviour, investors and property managers can make data-driven decisions to enhance asset value and achieve better returns.

Data Schema and Cadence

Our data schema is designed for clarity and ease of use, featuring properties such as:

• Datestamp: The date on which the observation was made. • Polygon ID: The ID of the CDRC defining the enclosing retail centre. • Centre Name: The name of the CDRC retail centre. • Centre Type: The classification of the CDRC retail centre. • Centre Region: The NUTS2/UK2 value for the region where the centre is located. • H3 Key: The H3 ID at level 12 for the geographic unit. • Latitude and Longitude: The geographic coordinates of the H3 unit centroid. • Footfall Value: The number of unique population member observations, adjusted for geographic sampling bias.

The cadence of our data ensures daily updates, providing the most current and actionable insights. This regular update cycle allows for timely decision-making and rapid responses to changing conditions, a critical advantage in today's fast-paced business environment.

Conclusion

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Hong Kong Lotteries Fund: Year to Date: Other Cash Movements data was reported at 254.168 HKD mn in Sep 2018. This records a decrease from the previous number of 264.937 HKD mn for Jun 2018. Hong Kong Lotteries Fund: Year to Date: Other Cash Movements data is updated quarterly, averaging -200.549 HKD mn from Mar 2000 (Median) to Sep 2018, with 62 observations. The data reached an all-time high of 348.278 HKD mn in Jun 2006 and a record low of -10,944.794 HKD mn in Mar 2014. Hong Kong Lotteries Fund: Year to Date: Other Cash Movements data remains active status in CEIC and is reported by The Treasury. The data is categorized under Global Database’s Hong Kong SAR – Table HK.F013: Government Fund: Lotteries Fund.

Hong Kong Civil Service Pension RF: Year to Date: Other Cash Movements data was reported at -1,530.000 HKD mn in Sep 2018. This stayed constant from the previous number of -1,530.000 HKD mn for Jun 2018. Hong Kong Civil Service Pension RF: Year to Date: Other Cash Movements data is updated quarterly, averaging -26.113 HKD mn from Dec 1995 (Median) to Sep 2018, with 92 observations. The data reached an all-time high of 0.000 HKD mn in Sep 2015 and a record low of -4,770.539 HKD mn in Mar 2017. Hong Kong Civil Service Pension RF: Year to Date: Other Cash Movements data remains active status in CEIC and is reported by The Treasury. The data is categorized under Global Database’s Hong Kong SAR – Table HK.F009: Government Fund: Civil Service Pension Reserve Fund.

Green Infrastructure Strategy Sustainable Movement Areas.

By using or accessing this data you will be deemed to have accepted the Public Sector End User Licence - INSPIRE.

Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

Abstract Union military personnel may, as part of their mission, be required to migrate every 2 or 3 years. While the military man’s career is assured in this situation, his wife may not have enough stability to develop her career in the labor market. The objective of this work is to analyze how migrations and spouses’ career may affect women’s participation in the formal labor market. For this purpose, logit models were used, comparing the results for wives of military personnel, other civil servants and formal workers in the private sector, controlling for the migration time of couples, among other variables. The results show that wives of military personnel participate less in the formal job market than wives of other workers. Wives who have migrated are also less likely to be in the formal market than those who have not, irrespective of the husband’s activity, unless they migrated before the husband and the husband is in the military. Military wives are less likely to be in the formal market at any time of migration, even if they migrate before their husbands.

This scatter chart displays net migration (people) against central government debt (% of GDP) and is filtered where the country is Georgia. The data is about countries per year.

Hong Kong General Rev Acc: Year to Date: Other Cash Movements data was reported at 112,014.376 HKD mn in Sep 2018. This records an increase from the previous number of 38,819.483 HKD mn for Jun 2018. Hong Kong General Rev Acc: Year to Date: Other Cash Movements data is updated quarterly, averaging 11,878.021 HKD mn from Dec 1995 (Median) to Sep 2018, with 92 observations. The data reached an all-time high of 112,014.376 HKD mn in Sep 2018 and a record low of -97,126.228 HKD mn in Mar 2008. Hong Kong General Rev Acc: Year to Date: Other Cash Movements data remains active status in CEIC and is reported by The Treasury. The data is categorized under Global Database’s Hong Kong SAR – Table HK.F006: Government General Revenue Account: Receipts and Payments.

Abstract copyright UK Data Service and data collection copyright owner.BackgroundThe British Social Attitudes (BSA) survey series began in 1983. The series is designed to produce annual measures of attitudinal movements to complement large-scale government surveys that deal largely with facts and behaviour patterns, and the data on party political attitudes produced by opinion polls. One of the BSA's main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. Some questions are asked regularly, others less often. Funding for BSA comes from a number of sources (including government departments, the Economic and Social Research Council and other research foundations), but the final responsibility for the coverage and wording of the annual questionnaires rests with NatCen Social Research (formerly Social and Community Planning Research). The BSA has been conducted every year since 1983, except in 1988 and 1992 when core funding was devoted to the British Election Study (BES).Further information about the series and links to publications may be found on the NatCen Social Research British Social Attitudes webpage. Main Topics:Each year, the BSA interview questionnaire contains a number of 'core' questions, which are repeated in most years. In addition, a wide range of background and classificatory questions is included. The remainder of the questionnaire is devoted to a series of questions (modules) on a range of social, economic, political and moral issues - some are asked regularly, others less often. Cross-indexes of those questions asked more than once appear in the reports. The BSA 2013 questionnaires included modules covering: attitudes to public spending, social welfare, transport, health, Scottish independence, education, starting a business, immigration and equality. In 2013, the ISSP module was National Identity, carried on version A of the BSA self-completion questionnaire. Multi-stage stratified random sample See documentation for each BSA year for full details. 2013 ACADEMIC ACHIEVEMENT ADULTS AGE AIR TRAVEL ATTITUDES BEREAVEMENT BICYCLES BRITISH POLITICAL P... BUSES BUSINESS FORMATION BUSINESS OWNERSHIP CARE OF DEPENDANTS CARE OF THE DISABLED CARS CENSORSHIP CENTRAL GOVERNMENT CHILD BENEFITS CHILD CARE CHILDREN CITIZENSHIP CIVIL AND POLITICAL... CLIMATE CHANGE CONDITIONS OF EMPLO... CONSERVATIVE PARTY ... COUNSELLING CULTURAL IDENTITY CULTURAL INTEGRATION DEATH PENALTY DEBILITATIVE ILLNESS DECENTRALIZED GOVER... DECISION MAKING DISABILITIES DISABILITY DISCRIMI... DISABLED PERSONS DISCRIMINATION DRIVING ECONOMIC ACTIVITY EDUCATION EDUCATIONAL BACKGROUND ELDERLY EMPLOYEES EMPLOYERS EMPLOYMENT EMPLOYMENT HISTORY ENVIRONMENTAL AWARE... ENVIRONMENTAL ISSUES EQUALITY BEFORE THE... ETHNIC GROUPS EUROPEAN INTEGRATION EUROPEAN UNION Environment and con... FAMILIES FAMILY BENEFITS FAMILY MEMBERS FAMILY ROLES FATHER S OCCUPATION FINANCIAL DIFFICULTIES FLEXIBLE WORKING TIME FOREIGN STUDENTS FULL TIME EMPLOYMENT GENDER GENDER ROLE GOVERNMENT POLICY GOVERNMENT ROLE Gender and gender r... General health and ... HEALTH HEALTH CONSULTATIONS HEALTH SERVICES HEALTH STATUS HIGHER EDUCATION HOME OWNERSHIP HOMOSEXUALITY HOSPITAL SERVICES HOURS OF WORK HOUSEHOLD INCOME HOUSEHOLDS HOUSING TENURE HUMAN RIGHTS Higher and further ... IMMIGRANTS IMMIGRATION INCOME INCOME DISTRIBUTION INTERNATIONAL RELAT... INTERNET ACCESS INTERNET USE INTERPERSONAL TRUST JOB SECURITY LABOUR PARTY GREAT ... LIFE SATISFACTION LIVING CONDITIONS LOW PAY MARITAL STATUS MOBILE PHONES NATIONAL IDENTITY NATIONALITY NEWSPAPER READERSHIP NEWSPAPERS OCCUPATIONAL QUALIF... OCCUPATIONS ONE PARENT FAMILIES PART TIME EMPLOYMENT PARTNERSHIPS PERSONAL PATRIOTISM POLITICAL ALLEGIANCE POLITICAL ATTITUDES POLITICAL INFLUENCE POLITICAL INTEREST POLITICIANS POVERTY PREJUDICE PRIVATE SECTOR PUBLIC EXPENDITURE PUBLIC SECTOR PUBLIC TRANSPORT QUALIFICATIONS QUALITY OF LIFE REDUNDANCY RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RENTED ACCOMMODATION RETIREMENT ROAD TRAFFIC POLLUTION RURAL AREAS SATISFACTION SAVINGS SELF EMPLOYED SELF GOVERNMENT SICKNESS AND DISABI... SOCIAL ATTITUDES SOCIAL CLASS SOCIAL HOUSING SOCIAL INEQUALITY SOCIAL ISSUES SOCIAL SECURITY BEN... SOCIAL SERVICES SOCIAL SUPPORT SOCIAL WELFARE PHIL... SOCIO ECONOMIC STATUS SPEED LIMITS SPOUSE S ECONOMIC A... SPOUSE S EMPLOYMENT SPOUSE S OCCUPATION SPOUSES STANDARD OF LIVING STATE HEALTH SERVICES STATE RESPONSIBILITY SUPERVISORY STATUS Social behaviour an... Social conditions a... Social welfare poli... TAXATION TELEPHONES TELEVISION VIEWING TRADE UNION MEMBERSHIP TRADE UNIONS TRUST TRUST IN GOVERNMENT UNEMPLOYMENT BENEFITS URBAN AREAS WORKING CONDITIONS WORKING MOTHERS