#DYK Over the last two decades, the proportions of polytechnic diploma and university graduates among residents have increased. The fields of study with higher proportions of males or females were generally unchanged.
To find out more, read on at 👉 go.gov.sg/ssn123-pg15-18!
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To find out more, read on at 👉 go.gov.sg/ssn123-pg15-18!
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Discover DOS’s role in data stewardship and governance and gain insights on Singapore’s growth cycle chronology, coincident and leading indicators.
Learn about the release and rebasing of Services Producer Price Indices, the adoption of technology for the compilation of Consumer Price Index and Singapore’s Balance of Payments services trade by modes of supply.
Read more in this issue of the Statistics Singapore Newsletter at 👉 www.singstat.gov.sg/ssn!
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Learn about the release and rebasing of Services Producer Price Indices, the adoption of technology for the compilation of Consumer Price Index and Singapore’s Balance of Payments services trade by modes of supply.
Read more in this issue of the Statistics Singapore Newsletter at 👉 www.singstat.gov.sg/ssn!
#SSN
#DYK Singapore’s composite leading index (CLI) had maintained its lead over the composite coincident index, suggesting the continuing relevance of the existing CLI in identifying and anticipating Singapore’s growth cycles.
Read about the key findings of the recent review of the composite leading and coincident indices following Singapore’s economic recovery from the COVID-19 pandemic at 👉 go.gov.sg/ssn223-pg7-10
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Read about the key findings of the recent review of the composite leading and coincident indices following Singapore’s economic recovery from the COVID-19 pandemic at 👉 go.gov.sg/ssn223-pg7-10
#SSN
#DYK Under the World Trade Organisation’s General Agreement on Trade in Services, trade in services is defined to cover four different modes of supply based on the locations of the supplier and consumer when a service is supplied.
Read about the compilation methodology and key findings from the experimental estimates at 👉 go.gov.sg/ssn223-pg11-15
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Read about the compilation methodology and key findings from the experimental estimates at 👉 go.gov.sg/ssn223-pg11-15
#SSN
#DYK To enable greater data sharing, more granular sub-indices of the Services Producer Price Indices (SPPIs) were published in the SPPI report and an interactive dashboard was developed. This is useful for businesses to better track movements of prices in the services industries to evaluate their competitiveness.
Read about the release of more granular SPPIs and key insights from the rebasing of three SPPIs to base year 2022 at 👉 go.gov.sg/ssn223-pg21-25
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Read about the release of more granular SPPIs and key insights from the rebasing of three SPPIs to base year 2022 at 👉 go.gov.sg/ssn223-pg21-25
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#DYK For the compilation of the Consumer Price Index (CPI), DOS performs web-scraping of hotel room rates using Python's Pyautogui and Pytesseract libraries, before loading the prices into the CPI computerised system for data compilation.
Read about DOS’s efforts in the adoption of technology for price data collection and compilation of the CPI at 👉 go.gov.sg/ssn223-pg16-20
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Read about DOS’s efforts in the adoption of technology for price data collection and compilation of the CPI at 👉 go.gov.sg/ssn223-pg16-20
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#DYK As the National Statistical Coordinator, DOS has been engaged in data stewardship and data governance with respect to the role of producing quality statistics, developing of national statistical standards and coordinating of statistical activities. As a Capability Centre of Individual and Business Data, DOS’s expanded role in data stewardship for the public service enables the strategic use of data and information in making data-driven decisions and providing services for the public.
Read about DOS's evolving role and functions in data stewardship and governance at 👉 go.gov.sg/ssn223-pg1-6
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Read about DOS's evolving role and functions in data stewardship and governance at 👉 go.gov.sg/ssn223-pg1-6
#SSN
The latest issue of the Statistics Singapore Newsletter is released! Read to find out about the drivers for the decline of Total Fertility Rate in Singapore, hawker food price trends, experimental use of new data sources for prompt identification of changes in firms’ status, revisions to Gross Domestic Product Estimates, and more at www.singstat.gov.sg/ssn.
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#SSN
#DYK Singapore’s resident total fertility rate (TFR) has been on a declining trend for the past three decades, falling to a historic low of 0.97 in 2023.
Read on to understand the drivers for the decline of TFR 👉 go.gov.sg/ssn124-pg1-6
#SSN
Read on to understand the drivers for the decline of TFR 👉 go.gov.sg/ssn124-pg1-6
#SSN
#DYK The compilation of Singapore’s Gross Domestic Product (GDP) estimates involves a trade-off between timeliness and accuracy. GDP estimates are regularly revised and refined by incorporating previously unavailable data.
Read on to understand how these revisions are made to the quarterly and annual GDP growth estimates 👉 go.gov.sg/ssn124-pg20-25
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Read on to understand how these revisions are made to the quarterly and annual GDP growth estimates 👉 go.gov.sg/ssn124-pg20-25
#SSN
#DYK Prices of hawker food increased 6.1% in 2023, the highest since 2008.
Learn about the key factors driving hawker food inflation and a comparative analysis of price trends of hawker food across Hawker Centres and Food Courts & Coffee Shops 👉 go.gov.sg/ssn124-pg11-15.
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Learn about the key factors driving hawker food inflation and a comparative analysis of price trends of hawker food across Hawker Centres and Food Courts & Coffee Shops 👉 go.gov.sg/ssn124-pg11-15.
#SSN
#DYK Significant changes in business activities of firms, especially those of large firms, can have a sizeable impact on Singapore’s business, National Accounts and Balance of Payments statistics.
Read about how the ‘Early Triggering’ pilot project promptly detect these changes with new data sources 👉 go.gov.sg/ssn124-pg16-19
#SSN
Read about how the ‘Early Triggering’ pilot project promptly detect these changes with new data sources 👉 go.gov.sg/ssn124-pg16-19
#SSN
#DYK DOS has embarked on a digital transformation journey and launched initiatives using Artificial Intelligence (AI) and Machine Learning (ML) in our statistical processes.
Read about DOS’s efforts in the adoption of AI/ ML in our statistical process at 👉 go.gov.sg/ssn124-pg7-10
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Read about DOS’s efforts in the adoption of AI/ ML in our statistical process at 👉 go.gov.sg/ssn124-pg7-10
#SSN
#DYK The Import Price Index (IPI), Export Price Index (EPI), Singapore Manufactured Products Price Index (SMPPI) and Domestic Supply Price Index (DSPI) were rebased from base year 2018 to 2023.
Read about the rebasing exercise for the four prices indices and the changes in the weighting patterns and trends 👉 go.gov.sg/ssn124-pg26-28
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Read about the rebasing exercise for the four prices indices and the changes in the weighting patterns and trends 👉 go.gov.sg/ssn124-pg26-28
#SSN
The latest issue of the Statistics Singapore Newsletter is out!
Explore insightful articles on various topics, including the contribution of women-owned companies to the Singapore economy, the use of administrative and new data sources for industry statistics, and the role of AI-enhanced Optical Character Recognition and machine learning in streamlining data processing for the Household Expenditure Survey 2023. In addition, discover how the Integrated Longitudinal Database supports data-driven policy studies and other key developments at go.gov.sg/ssn2024Issue2.
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Explore insightful articles on various topics, including the contribution of women-owned companies to the Singapore economy, the use of administrative and new data sources for industry statistics, and the role of AI-enhanced Optical Character Recognition and machine learning in streamlining data processing for the Household Expenditure Survey 2023. In addition, discover how the Integrated Longitudinal Database supports data-driven policy studies and other key developments at go.gov.sg/ssn2024Issue2.
#SSN
#DYK In 2022, women-owned companies generated $85.3 billion in revenue and employed 202,000 employees. Compared to 2010, this represented an average annual growth of 11.3% and 4.8% respectively.
👀Find out more on the contribution and characteristics of women-owned companies in Singapore 👉 go.gov.sg/ssn224-pg2-4
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👀Find out more on the contribution and characteristics of women-owned companies in Singapore 👉 go.gov.sg/ssn224-pg2-4
#SSN
#DYK DOS produces short-term and annual estimates of industry statistics for the services sector.
🔎 Find out more on how DOS has produced new data products by leveraging administrative data and new data sources 👉 go.gov.sg/ssn224-pg5-8
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🔎 Find out more on how DOS has produced new data products by leveraging administrative data and new data sources 👉 go.gov.sg/ssn224-pg5-8
#SSN
#DYK The Singapore Government adopts a data-driven approach in shaping policies using data analytics to examine issues, identify effective strategies, and assess the impact of policy interventions.
📖 Read about DOS’s integrated Longitudinal Administrative Database and how it supports evidence-based research and policy studies in Singapore 👉 go.gov.sg/ssn224-pg9-12
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📖 Read about DOS’s integrated Longitudinal Administrative Database and how it supports evidence-based research and policy studies in Singapore 👉 go.gov.sg/ssn224-pg9-12
#SSN
#DYK DOS automated traditionally labour-intensive data processing tasks using artificial intelligence (AI)-enhanced optical character recognition and machine learning techniques in the Household Expenditure Survey 2023.
👀Find out about DOS’s efforts in automating data processing tasks at 👉 go.gov.sg/ssn224-pg13-18
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👀Find out about DOS’s efforts in automating data processing tasks at 👉 go.gov.sg/ssn224-pg13-18
#SSN
📢 The latest issue of the Statistics Singapore Newsletter is out! ✨
In this Issue, read about how DOS has generated new data insights on enterprise characteristics through integrated databases of enterprises and individuals. Learn about the experimental approach to measuring multifactor productivity using total actual hours worked and gain a clearer understanding of seasonal adjustment challenges during the COVID-19 pandemic. Understand how administrative data are transforming statistical compilation in Singapore.
Dive into these articles and more at go.gov.sg/ssn2025Issue1.
#SSN
In this Issue, read about how DOS has generated new data insights on enterprise characteristics through integrated databases of enterprises and individuals. Learn about the experimental approach to measuring multifactor productivity using total actual hours worked and gain a clearer understanding of seasonal adjustment challenges during the COVID-19 pandemic. Understand how administrative data are transforming statistical compilation in Singapore.
Dive into these articles and more at go.gov.sg/ssn2025Issue1.
#SSN