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D

Residential Wired Broadband Subscriptions By Speed, Quarterly

What this data shows

Published by Info-communications Media Development Authority. 66 records. Fields include Quarter, Speed, No of subscriptions (3 columns in total). Covers 2011-01-01 to 2019-03-31. Last updated 2024-06-06.

Description

This Singapore telecommunications dataset tracks the number of residential wired broadband subscriptions by quarter from January 2011 through March 2019. Each record combines a quarterly period, one of two reported speed bands—below 100 Mbps or 100 Mbps and above—and the corresponding subscription count. Published by Singapore’s Info-communications Media Development Authority, it provides a national time series for examining how wired broadband service demand and speed distribution changed over time. Because the dataset contains no subnational geography or household-denominator field, it is best suited to national trend analysis, comparisons between speed tiers, market-structure research, and historical studies of Singapore’s broadband transition rather than district-level mapping or direct household penetration-rate calculations. Typical search and research intents include Singapore residential broadband trends, quarterly wired broadband subscriptions, growth of 100 Mbps-and-above plans, broadband speed adoption, and historical telecommunications market analysis. Source: https://data.gov.sg/datasets/d_c9239b2508fec876996dd4a9989f679b/view

Last updated
Coverage
2011-01-01 – 2019-03-31
Rows
66
Columns
3

Chart

Values are summed where multiple rows share the same category.

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Data

Quarter Speed No of subscriptions
2011-Q1 <100Mbps 1154289.000000
2011-Q1 100Mbps and above 35986.000000
2011-Q2 <100Mbps 1177052.000000
2011-Q2 100Mbps and above 43558.000000
2011-Q3 <100Mbps 1177446.000000
2011-Q3 100Mbps and above 54208.000000
2011-Q4 <100Mbps 1159064.000000
2011-Q4 100Mbps and above 78793.000000
2012-Q1 <100Mbps 1137331.000000
2012-Q1 100Mbps and above 105785.000000

Preview shows 10 rows and 3 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Quarter Quarter (Q) No
Speed Text No
No of subscriptions Numeric No