Network Capacity Planning and Utilization Forecasting
This dataset provides a detailed view of network capacity management, including real-time utilization, traffic growth trends, capacity thresholds, expansion project tracking, investment prioritization, and a 5-year capacity roadmap for network elements. It enables telecom operators and network planners to forecast demand, prioritize upgrades, and optimize capital expenditure, supporting both operational efficiency and strategic planning.
Sample rows
preview · 8 of 250 rows · all 22 columns| network_element_idstring | forecast_model_typestring | traffic_growth_rate_percentfloat | element_typestring | network_element_namestring | locationstring | current_capacity_gbpsfloat | current_utilization_gbpsfloat | utilization_percentfloat | capacity_threshold_percentfloat | forecasted_utilization_gbps_1yrfloat | forecasted_utilization_gbps_3yrfloat | forecasted_utilization_gbps_5yrfloat | expansion_project_idstring | expansion_project_namestring | expansion_project_statusstring | expansion_project_start_datedate | expansion_project_end_datedate | investment_priorityinteger | roadmap_yearinteger | roadmap_capacity_gbpsfloat | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NE001 | exponential | 12.5 | router | NYC_Core_Router_01 | New York City | 8000 | 7200 | 90 | 95 | 8208 | 10348 | 13037 | EXP001 | NYC Router Expansion 24 | in-progress | 2024-03-22 | blank | 1 | 2024 | 12000 | Core traffic hub, approaching saturation, urgent expansion ongoing. |
| NE002 | arima | 10.2 | switch | Miami_Switch_Alpha | Miami | 1200 | 1056 | 88 | 90 | 1164 | 1400 | 1676 | EXP002 | Miami Alpha Upgrade | planned | 2024-08-15 | blank | 3 | 2025 | 1800 | High-priority segment serving downtown Miami, expansion planned. |
| NE003 | exponential | 15.6 | link | Seattle_Longhaul_Link1 | Seattle | 4000 | 3760 | 94 | 97 | 4347 | 6569 | 9921 | EXP003 | Seattle Backbone Upgrade | in-progress | 2024-06-03 | blank | 2 | 2024 | 6000 | Critical backbone link with rapid traffic growth, upgrade underway. |
| NE004 | linear | 0.7 | node | LA_Node_01 | Los Angeles | 6 | 6 | 100 | 100 | 6.04 | 6.13 | 6.25 | blank | blank | blank | blank | blank | 16 | 2027 | 6.5 | Legacy infrastructure, minimal growth, edge case saturation. |
| NE005 | arima | 18 | switch | Houston_Switch_02 | Houston | 200 | 192 | 96 | 98 | 226 | 333 | 491 | EXP004 | Houston Peak Switch | in-progress | 2024-04-10 | blank | 2 | 2025 | 400 | Residential demand spike, urgent expansion required. |
| NE006 | linear | 7.5 | router | Dallas_Router_Main | Dallas | 1200 | 720 | 60 | 75 | 774 | 890 | 1020 | blank | blank | blank | blank | blank | 7 | 2026 | 1350 | Stable aggregator for Dallas region, monitoring growth. |
| NE007 | arima | 9.8 | link | Atlanta_Core_LinkA | Atlanta | 2500 | 2100 | 84 | 90 | 2306 | 2781 | 3352 | EXP005 | Atlanta LinkA Expansion | planned | 2024-11-12 | blank | 4 | 2025 | 3250 | Automotive corridor node, expansion scheduled for 2025. |
| NE008 | linear | 0.3 | node | Phoenix_Edge_Node02 | Phoenix | 0.5 | 0.5 | 100 | 100 | 0.51 | 0.52 | 0.53 | blank | blank | blank | blank | blank | 18 | 2028 | 0.6 | Minimal traffic growth, legacy edge node. |
| NE009 | exponential | 14.2 | link | Chicago_Backbone_Link2 | Chicago | 5000 | 4750 | 95 | 98 | 5426 | 7768 | 11128 | EXP006 | Chicago Link2 Expansion | in-progress | 2024-07-21 | blank | 1 | 2024 | 8000 | Core backbone, high utilization, expansion in progress. |
| NE010 | linear | 8.7 | switch | SF_Switch_Beta | San Francisco | 225 | 143 | 63.6 | 80 | 155 | 182 | 212 | blank | blank | blank | blank | blank | 9 | 2027 | 265 | Serving new developments, stable switch. |
| NE011 | linear | 6 | router | Boston_Router_03 | Boston | 150 | 110 | 73.3 | 80 | 117 | 131 | 146 | EXP007 | Boston Router Upgrade | planned | 2025-02-03 | blank | 8 | 2026 | 175 | Stable router, moderate growth, expansion planned for 2025. |
| NE012 | arima | 3.2 | node | Detroit_Node_Main | Detroit | 20 | 13 | 65 | 70 | 13.42 | 14.28 | 15.29 | blank | blank | blank | blank | blank | 11 | 2027 | 22 | Automotive corridor node, steady traffic. |
| NE013 | exponential | 17.4 | link | Denver_Link_01 | Denver | 35 | 0.2 | 0.57 | 45 | 0.23 | 0.32 | 0.44 | blank | blank | blank | blank | blank | 19 | 2028 | 35 | Recently deployed, not yet utilized. |
| NE014 | blank | 0.2 | other | Fairfield_Other_X1 | Fairfield | 2.5 | 2.5 | 100 | 100 | 0 | 0 | 0 | blank | blank | blank | blank | blank | 20 | 2028 | 2.5 | Legacy infrastructure, zero growth forecast. |
| NE015 | linear | 0 | other | Philly_Infra_0 | Philadelphia | 1 | 1 | 100 | 100 | 1 | 1 | 1 | blank | blank | blank | blank | blank | 20 | 2028 | 1.1 | Edge case, legacy node, no traffic growth. |
| NE016 | blank | 0 | router | Portland_Router_Zero | Portland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | blank | blank | blank | blank | blank | 19 | 2028 | 0 | New router, not yet provisioned. |
| NE017 | exponential | 19.5 | switch | Seattle_Switch_03 | Seattle | 140 | 133 | 95 | 98 | 159 | 227 | 324 | EXP008 | Seattle Switch Peak | planned | 2024-10-02 | blank | 3 | 2024 | 280 | Unusual utilization spike, event-driven demand. |
| NE018 | arima | 14.8 | link | Dallas_Link_02 | Dallas | 550 | 522 | 94.9 | 95 | 600 | 814 | 1104 | EXP009 | Dallas Link 2024 | in-progress | 2024-05-05 | blank | 2 | 2024 | 900 | Critical Dallas link, high-priority expansion. |
| NE019 | exponential | 13.1 | switch | Phoenix_Switch_03 | Phoenix | 80 | 76 | 95 | 96 | 86 | 125 | 181 | EXP010 | Phoenix Switch 2024 | planned | 2024-09-01 | blank | 4 | 2024 | 160 | Residential demand spike, urgent expansion. |
| NE020 | linear | 0.3 | node | NYC_Node_Edge_02 | New York City | 0.7 | 0.7 | 100 | 100 | 0.71 | 0.73 | 0.75 | blank | blank | blank | blank | blank | 18 | 2027 | 0.8 | Edge node, legacy status, minimal traffic growth. |
What the 250 rows show
from the 250-row sampleLinear (forecast model type) stands out: mean traffic_
- 8.5median traffic_
growth_ rate_ percent - 2expansion project statuses
- 92.5median current_
capacity_ gbps - 75.5median current_
utilization_ gbps - 90.5median utilization_
percent - 95median capacity_
threshold_ percent
Median 8.5, from 0.0 to 19.5.
- string 9
- integer 2
- float 9
- date 2
Columns
22 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
network_element_id | string | Unique identifier for the network element (e.g., router, switch, link)unique | NE001 |
network_element_name | string | Human-readable name of the network element | NYC_Core_Router_01 |
element_type | string | Type of network element (e.g., router, switch, link, node)router · switch · link · node · other | router |
location | string | Physical or logical location of the network elementoptional | New York City |
forecast_model_type | string | Type of forecasting model used (e.g., linear, exponential, ARIMA)linear · exponential · arima · other · optional | exponential |
expansion_project_id | string | Unique identifier for the associated expansion project (if any)optional | EXP001 |
expansion_project_name | string | Name of the associated expansion project (if any)optional | NYC Router Expansion 24 |
expansion_project_status | string | Current status of the expansion project (e.g., planned, in-progress, completed, cancelled)planned · in-progress · completed · cancelled · optional | in-progress |
notes | string | Additional notes or comments regarding the network element or planningoptional | Legacy node, edge case. |
| Numbers 11 columns | |||
current_capacity_gbps | float | Current maximum capacity of the network element in gigabits per second0 or more | 8000 |
current_utilization_gbps | float | Current utilization of the network element in gigabits per second0 or more | 7200 |
utilization_percent | float | Current utilization as a percentage of total capacity0 to 100 | 90 |
capacity_threshold_percent | float | Threshold percentage at which capacity expansion is triggered0 to 100 | 95 |
traffic_growth_rate_percent | float | Annualized traffic growth rate for the network element (percentage)0 or more · optional | 12.5 |
forecasted_utilization_gbps_1yr | float | Forecasted utilization in gigabits per second one year from now0 or more · optional | 8208 |
forecasted_utilization_gbps_3yr | float | Forecasted utilization in gigabits per second three years from now0 or more · optional | 10348 |
forecasted_utilization_gbps_5yr | float | Forecasted utilization in gigabits per second five years from now0 or more · optional | 13037 |
investment_priority | integer | Priority ranking for investment (lower number = higher priority)1 or more · optional | 1 |
roadmap_year | integer | Year in the 5-year capacity roadmap this record pertains to2,024 or more | 2024 |
roadmap_capacity_gbps | float | Planned network element capacity for the roadmap year (in gigabits per second)0 or more · optional | 12000 |
| Dates and times 2 columns | |||
expansion_project_start_date | date | Planned or actual start date of the expansion projectoptional | 2024-03-22 |
expansion_project_end_date | date | Planned or actual end date of the expansion projectoptional | 2026-04-15 |
Use it for
A telecommunications dashboard
Traffic_
growth_ rate_ percent by forecast_ model_ type and a breakdown of element_ type. Excel, Power BI or Tableau. Why do the 89 linear rows have a mean traffic_
growth_ rate_ percent of 3.5? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Network elements250NE00112.5exponent…NE00210.2arimaNE00315.6exponent…
A software demo
Believable network elements with network_
element_ name, element_ type and location to fill a screen in front of a buyer.
blueprint · network-capacity-planning-and-utilization-forecasting
Behind this dataset
Same schema. As many rows as you need.
These 250 rows came out of a blueprint — 22 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.
- Network element ID and type (cell site, router, core gateway)
- Current utilization: percentage of capacity in use (CPU, bandwidth, PRBs)
- Capacity threshold: yellow (70-80%), red (>80%) triggers for action
- Traffic growth rate: month-over-month or year-over-year percentage increase
- Forecast model: linear, exponential, machine learning-based predictions
- Projected exhaustion date: when capacity will reach 100%
- Expansion projects: planned upgrades, new sites, equipment additions
- Investment prioritization: ROI, customer impact, competitive pressure
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- network-capacity-planning-and-utilization-forecasting