Channels Like Singapore Department of Statistics (DOS)

Singapore Department of Statistics (DOS) YouTube channel thumbnail
Singapore Department of Statistics (DOS)
Subscribers 2.6K
Videos 28
Views 452.1K

The Singapore Department of Statistics (DOS) covers national statistics, data processing, data services, and statistical governance for Singapore, as reflected by video titles like The Statistics Act Explained, Guide to the SingStat Mobile App, and Introducing SingStat Table Builder. Content spans tutorials and informational explainers, with a focus on data tools, data processing methods, and statistical concepts, accompanied by a channel description of being the national statistical authority. The channel publishes 28 videos with an average of about 340 views per video and has been active since January 26, 2014, with 2.6K subscribers and 452.1K total views, and an emphasis on short-to-medium length educational content across various data-related topics.

Content Landscape

Top competitors include The Wall Street Journal (53% match, 6.6M subscribers) and IBM Technology (81% match, 1.6M subscribers). The DOS and The Wall Street Journal compete on statistical price indices and related economic statistics queries, while IBM Technology overlaps on statistics data retrieval, data processing AI, and data governance statistics. Another notable competitor is Global Health with Greg Martin (55% match, 203K subscribers) who shares a focus on statistical data apps, tools, and reporting standards. DOS’s subscriber base is significantly smaller than these competitors (2.6K vs. millions to hundreds of thousands), indicating a niche, government-statistics focused channel in a broader landscape of data-driven and news-oriented content.

Similar Channels

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

IBM Technology YouTube channel thumbnail
#1 IBM Technology

81% relevance

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 for statistics, with 68% content similarity, indicating similar audience interests in data processing and governance but differing in overall tech-focused content.

U.S. Census Bureau YouTube channel thumbnail
#2 U.S. Census Bureau

60% relevance

Subscribers 49.6K
Videos 2K
Views 42.7M
Appearances 7
SERP 37%
Similarity 75%
census data processing

Strong alignment on census and population data processing queries, with 75% content similarity, showing a shared focus on official statistics and data collection despite different regional scope.

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

Overlap on statistical data tools and reporting standards (55% match; 65% content) signals a common audience for statistical methods and standards, though content centers on global health data storytelling.

The Wall Street Journal YouTube channel thumbnail
#4 The Wall Street Journal

53% relevance

Subscribers 6.6M
Videos 28K
Views 2.5B
Appearances 4
SERP 38%
Similarity 63%
price index explanation producer price index consumer price index

Similarities in price index concepts (PPI, CPI) give a 53% match with 63% content similarity, reflecting shared interest in macroeconomic statistics presented for a general audience.

Lights OnData YouTube channel thumbnail
#5 Lights OnData

51% relevance

Subscribers 922K
Videos 797
Views 6.6M
Appearances 3
SERP 21%
Similarity 72%
data governance statistics data quality metrics

Shares emphasis on data governance and data quality metrics (51% match; 72% content), indicating a common focus on data reliability and policy-ready statistics.

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 on statistical tools and reporting standards (51% match; 71% content) and exposure to sample design methods align with audience seeking statistical methodology education.

Didn't Make the Cut

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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, 49.6K subscribers; Global Health with Greg Martin — 55% match, 203K subscribers. They share a focus on data, statistics, and public information channels/education similar to DOS.

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

DOS creates informational and educational content about statistics, data processing, and government statistics initiatives, as evidenced by video 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. The channel uploads about 0.1 videos per week, with an average of ~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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