Telecom Network Expansion Planning Inputs

This dataset provides comprehensive planning inputs for telecom network expansion, detailing site locations, projected network usage, feasibility assessments, and cost estimates. It enables data-driven capital planning, site prioritization, and optimization of network investments for telecom operators and infrastructure planners.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Optimizing capital allocation for telecom network expansion

Sample rows

preview · 8 of 200 rows · all 23 columns
site_idstringsite_typestringprojected_user_countintegerpower_availabilitybooleanbackhaul_typestringsite_namestringlatitudefloatlongitudefloataddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringplanned_activation_datedateprojected_peak_usage_mbpsfloatprojected_average_usage_mbpsfloatfeasibility_statusstringfeasibility_notesstringestimated_capex_usdfloatestimated_opex_usd_per_yearfloatsite_ownerstringsite_statusstringlast_updateddatetime
SITE-0001macrocell11000truefiberCentral Park Macrocell40.785091-73.968285123 Central Park WNew YorkNY10023USA2023-05-151750.21482.6feasibleUrban area, high demand forecast.1100000200000NYC Infrastructure Holdingsactive2023-10-01T15:23:09Z
SITE-0002tower0falsesatelliteMesa Heights Tower33.354167-111.789167blankMesaAZblankUSAblank00not feasibleRemote area, power unavailable.0blankblankcancelled2024-01-14T10:18:12Z
SITE-0003microcell130truemicrowaveCamden Microcell51.54128-0.1439141 Camden High StLondonGreater LondonNW1 7JHUK2024-11-2095.273.6feasibleSite approved by council.570007100Camden Borough Telecomplanned2024-04-17T14:55:44Z
SITE-0004other2falseotherRedwood Test Node37.485215-122.236355blankRedwood CityCAblankUSAblank1.50.1feasibleTemporary lab test node.3500500Redwood Test Labplanned2024-03-11T09:32:18Z
SITE-0005rooftop5200trueleased lineDowntown LA Rooftop34.052234-118.243685800 W 7th StLos AngelesCA90017USA2024-07-251262.41080under reviewAwaiting landlord approval.703000128000Downtown Realty Groupplanned2024-03-30T11:47:51Z
SITE-0006small cell215truefiberBroadway Small Cell40.710537-74.007124233 BroadwayNew YorkNY10279USA2024-09-01210.6156.7pendingPermitting in progress.430005100Tri-State Mobilein progress2024-04-09T10:20:59Z
SITE-0007tower0falsesatelliteSunset Valley Tower30.281992-97.829689blankSunset ValleyTXblankUSAblank00not feasibleEnvironmental restrictions.0blankblankcancelled2024-02-17T15:24:31Z
SITE-0008macrocell9000truefiberSanta Clara Macrocell37.354108-121.9552362501 Mission College BlvdSanta ClaraCA95054USA2022-12-012002.11579.2feasibleAdjacent to corporate campus.920000175000Silicon Valley Networksactive2024-04-20T13:51:06Z

What the 200 rows show

from the 200-row sample

Macrocell (site type) stands out: mean projected_user_count is 8,685, against 1,056 for the rest.

  • 81%power_availability = true
  • 301median projected_user_count
  • 4feasibility statuses
  • 4site statuses
  • 234.4median projected_peak_usage_mbps
  • 180.7median projected_average_usage_mbps
Mean projected_user_count by site_type200 rows
05,00010k8,685macro…64 rows140.4micro…27 rows132.0small…37 rows3,969rooft…34 rows0.85tower26 rows0.25other12 rows
projected_user_count200 rows, in bands of 2,000
055110106142315212106,00012kprojected_user_count →

Median 301, from 0 to 12,000.

backhaul_type200 rows · 5 values
  1. fiber94
  2. leased line38
  3. microwave30
  4. satellite26
  5. other12
23 columns by typefrom the column list below
  • string 13
  • integer 1
  • float 6
  • date 1
  • datetime 1
  • boolean 1

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 13 columns
site_idstringUnique identifier for the planned or existing telecom siteuniqueSITE-0001
site_namestringDescriptive name of the telecom siteCentral Park Macrocell
site_typestringType of site (e.g., macrocell, microcell, small cell, rooftop, tower)6 valuesmacrocell
address_streetstringStreet address of the siteoptional123 Central Park W
address_citystringCity where the site is locatedoptionalNew York
address_statestringState or province where the site is locatedoptionalNY
address_postal_codestringPostal code of the site locationoptional10023
address_countrystringCountry where the site is locatedUSA
feasibility_statusstringFeasibility assessment outcome for the sitefeasible · not feasible · pending · under reviewfeasible
feasibility_notesstringAdditional notes or comments regarding site feasibilityoptionalTemporary lab test node.
backhaul_typestringType of backhaul connectivity planned for the site (e.g., fiber, microwave, leased line)fiber · microwave · leased line · satellite · other · optionalfiber
site_ownerstringName of the site owner or landlordoptionalCamden Borough Telecom
site_statusstringCurrent status of the site in the planning or deployment processplanned · in progress · active · on hold · cancelledactive
Numbers 7 columns
latitudefloatLatitude coordinate of the site location-90 to 9040.785091
longitudefloatLongitude coordinate of the site location-180 to 180-73.968285
projected_peak_usage_mbpsfloatProjected peak network usage at the site in megabits per second0 or more1750.2
projected_average_usage_mbpsfloatProjected average network usage at the site in megabits per second0 or more1482.6
projected_user_countintegerEstimated number of users served by the site0 or more11000
estimated_capex_usdfloatEstimated capital expenditure for site buildout in US dollars0 or more1100000
estimated_opex_usd_per_yearfloatEstimated annual operating expenditure for the site in US dollars0 or more · optional200000
Dates and times 2 columns
planned_activation_datedatePlanned date for site activation or go-liveoptional2023-05-15
last_updateddatetimeTimestamp of the last update to the site record2023-10-01T15:23:09Z
True or false 1 column
power_availabilitybooleanIndicates if reliable power is available at the sitetrue

Use it for

  • power availabi…81%162 of 200 rowsmean projected user c…8.7kmacr…140.4micr…132.0smal…4kroof…

    A telecommunications dashboard

    The power_availability rate, projected_user_count by site_type and a breakdown of backhaul_type. Excel, Power BI or Tableau.

  • Why do the 64 macrocell rows have a mean projected_user_count of 8,685?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable sites with site_name, site_type and latitude to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows23 columns
Yours1,000 rows23 columnssite_id: UK only

blueprint · telecom-network-expansion-planning-inputs

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each site: region, projected users, capacity
  • Feasibility score and cost estimate included
  • Area demographics and growth rates encoded
  • Site type: urban, rural, remote
  • Competitive presence flagged
Rows
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Exports
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Licence
yours to use, including commercially
API slug
telecom-network-expansion-planning-inputs

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