Singapore Department of Statistics (DOS) YouTube channel thumbnail
Singapore Department of Statistics (DOS)
Subscribers 2.6K
Videos 31
Views 468.1K

Channels Like Singapore Department of Statistics (DOS)

Singapore Department of Statistics (DOS) covers national statistics, data collection, and data services for Singapore, with tutorials and informational content reflecting its role as the national statistical authority. The channel features guides on tools like SingStat apps and data retrieval, explainers on statistical acts, and introductions to data processing methods, aligning with a mix of tutorials, explanations, and system features. It uploads infrequently, with 31 videos and an average of about 340 views per video, across 2.6K subscribers since joining on Jan 26, 2014.

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Results last updated 6 months ago.

Similar Channels

We found 46 YouTube channels similar to Singapore Department of Statistics (DOS)

IBM Technology YouTube channel thumbnail
Subscribers 1.6M
Videos 1.5K
Views 108.6M
Appearances 15
SERP 100%
Similarity 68%
statistics data retrieval data processing AI data governance statistics

High search overlap on statistics data retrieval and data governance queries (100% search match; 68% content similarity), indicating IBM targets similar audience needs around data processing and statistics, though IBM’s content is broader in AI and enterprise data solutions beyond public statistics.

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U.S. Census Bureau YouTube channel thumbnail
Subscribers 49.9K
Videos 2.1K
Views 42.8M
Appearances 7
SERP 37%
Similarity 75%
census data processing

Shares a focus on census and population statistics with Singapore DOS via census data processing queries (high content alignment on statistical data processing; search is moderate), indicating a similar domain in official statistics despite different national contexts.

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Global Health with Greg Martin YouTube channel thumbnail
Subscribers 203K
Videos 415
Views 15.2M
Appearances 7
SERP 41%
Similarity 65%
statistical data app statistical data tools statistical reporting standards

Connections through statistical data apps, tools, and reporting standards (content similarity moderate to high at 65%), aligning on statistical storytelling and standardization though centered on health data rather than national statistics.

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The Wall Street Journal YouTube channel thumbnail
Subscribers 6.6M
Videos 28K
Views 2.5B
Appearances 4
SERP 38%
Similarity 63%
price index explanation producer price index consumer price index

Overlaps with price index topics (PPI, CPI) as indicators of macroeconomic statistics similar to DOS’s economic indicators, evidenced by moderate search and content alignment though DOS focuses on national statistics and methodology rather than journalism.

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Lights OnData YouTube channel thumbnail
#5
Lights OnData

51% relevance

Subscribers 921K
Videos 808
Views 7.0M
Appearances 3
SERP 21%
Similarity 72%
data governance statistics data quality metrics

Shared emphasis on data governance and data quality metrics (high content similarity 72%), reflecting a common concern with metadata, quality controls, and governance in statistical data.

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Dr Nic's Maths and Stats YouTube channel thumbnail
#6
Dr Nic's Maths and Stats

51% relevance

Subscribers 127K
Videos 169
Views 16.6M
Appearances 4
SERP 20%
Similarity 71%
statistical data tools statistical reporting standards sample design methods

Overlap in statistical tools, reporting standards, and sampling design methods (content similarity ~71%), indicating alignment on methodological education for statistics and data analysis.

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Content Landscape

Top competitors include The Wall Street Journal (53% match) and IBM Technology (81% match) as the strongest matches. Both connect through overlapping queries around price indices, data processing, and data retrieval/AI tools; DOS shares queries such as statistical data tools and data retrieval with them. IBM Technology has a substantially larger audience (1.6M subscribers) compared to DOS, while The Wall Street Journal has 6.6M subscribers, highlighting a size gap. Other comparators with notable overlap are Global Health with Greg Martin (55% match) for statistical data apps and tools, and Lights OnData (51% match) for data governance and quality metrics; all these channels compete in broader data, statistics, and data processing topics.

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Video Highlights

Recent content from similar channels

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Search Queries Used

statistical act explained data privacy statistics national statistics Singapore statistical data app statistical data tools data collection methodology price index explanation producer price index consumer price index economic statistics Singapore data services Singapore statistics data retrieval survey system analytics data processing AI data governance statistics statistical reporting standards data quality metrics sample design methods census data processing time series analysis methods

Frequently Asked Questions

Which YouTube channels are most similar to Singapore Department of Statistics (DOS)?

IBM Technology — 81% match, 1.6M subscribers; U.S. Census Bureau — 60% match, 49.9K subscribers; Global Health with Greg Martin — 55% match, 203K subscribers. They share a focus on data, statistics, and public information channels that provide official statistics, data insights, and informative content related to demographics, economics, and health statistics.

What type of content does Singapore Department of Statistics (DOS) make?

DOS creates informative videos about statistics, data processing, and government data systems, with titles such as Your Data, Our Responsibility: The Statistics Act Explained; Guide to the SingStat Mobile App; Introducing SingStat Table Builder; Use of AI-enhanced OCR and Machine Learning for Data Processing in the HES 2023; Introducing the Integrated Business Survey System (IBSS)-Pro AI. Uploads occur at roughly 0.1 per week, with an average of about 340 views per video.

How do we determine which channels are similar to Singapore Department of Statistics (DOS)?

We analyze Singapore Department of Statistics (DOS)'s recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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