Local Access - Network Pricing Database

The first database of global local access prices, with real prices paid by carriers for leased private lines and Ethernet circuits.

SAMPLE VIEW

Pricing Database

This database includes a searchable database of over 500,000 transactional prices for local access circuits, from 2012 to the present.

All prices are converted from local currency to USD for comparison across geographies. Users can query individual transactions directly, or view aggregate statistical summary rates. Charting tools allow for trend analysis over time and comparison across distance bands. All database queries may be exported and downloaded locally for further analysis.

Local Access Pricing Workbook

Local access pricing data are also available in downloadable Excel workbooks. Workbooks contain the most recent six months of data and provide predefined comparisons and analysis and charting tools:

• Statistical summary prices by city, country, region, circuit type, capacity, and distance

• Annual and monthly price ranges

• Charting tools to compare prices by city, circuit type, capacity, and local loop length

• Charting tools to compare the mix of circuits purchased by city, country, and region

Market Coverage

Pricing data cover several hundred cities in over 100 countries.

TeleGeography's data encompass a wide range of leased line and Ethernet circuits, including very low and high capacity circuits, where available.

• Leased line: 64 Kbps through STM-64/OC1928 (10,000 Mbps)

• Ethernet: 1 Mbps through 100 GigE

Local Access Pricing Report

Subscribers receive our semi-annual Local Access Pricing Report, which analyzes and compares trends in local access service pricing, competition, and purchasing patterns.

Topics include:

• Comparisons of price ranges by city, country, and region

• Impact of local loop distance on pricing

• Analysis of the most common circuits purchased, by circuit type and capacity

Methodology

We asked carriers to provide us with the prices they paid for local access to connect B-end buildings to their PoPs. Participants store these data in various forms; we normalize the data to cross-compare.