Worked example · Open data · Sweden

Where should the next EV charger go in Kalmar? A worked PlaceVolt Site Score example

A concrete, reproducible walk-through of how PlaceVolt turns open Swedish data into a screening signal for a public EV (electric-vehicle) charger — the regional demand read, the seven-factor Site Potential Score for a specific point, and an honest account of what the number does and does not know.

Read this first. PlaceVolt produces an opportunity / pre-diligence score, not a revenue forecast. It says where a public charger is more or less likely to be worth investigating — it never claims revenue, utilisation, kilowatt-hours or return on investment, and it is not investment advice. Always validate a site with a physical visit, a grid-connection check, permits and private data before committing capital.

The question a site-acquisition analyst actually asks

Imagine you run charge-point expansion for a Charge-Point Operator (CPO), or you own a retail/parking property in south-east Sweden, and you have budget for one more public charger. The real question is not "is Sweden a good EV market" — it is "which town, and roughly where in it, deserves the cost of a site visit first?"

PlaceVolt answers that in two layers, both built only from open, licensed public data:

  1. Regional demand screening — rank Sweden's 290 municipalities (kommuner) by demonstrated EV-charging demand, so you look in the right town.
  2. Per-address Site Potential Score — score a specific point on seven explainable factors, so you find the under-served spot inside that town.

This article works both layers for one real place: Kalmar, the county seat of Kalmar län (region code 0880) on Sweden's south-east coast.

Layer 1 — Is Kalmar a proven-demand market?

PlaceVolt's national opportunity leaderboard ranks each municipality on a demand model. For Kalmar the live open-data API returns:

Kalmar (region 0880) — regional opportunity row, from GET /api/signal-sites/0880
Signal (open-data proxy)Kalmar valueWhat it means
Opportunity Score (0–100)84.3National rank #10 of 290; #1 in Kalmar län
Cars per 1,000 residents (SCB)420Car-dependent population — a structural EV-demand base
Median income (SCB)346.9 kSEK67th national percentile — above-average purchasing power
Public charging stations today (NOBIL)83An established charging market (96th supply percentile)
Nearby points of interest / dwell (density)25788th percentile — plenty of destination dwell-time locations
An honest note on the model. Kalmar already has 83 public stations, so why does it rank high rather than being "done"? Because PlaceVolt's demand model deliberately treats an established charging market as a proven-demand signal. When we tested the opposite instinct — ranking purely by raw under-supply ("gap-hunting") — it validated worse at pointing to workable sites. So Layer 1 tells you Kalmar is a real demand market worth entering; it does not yet tell you the specific corner to build on. That is Layer 2's job.
PlaceVolt Market Map screenshot showing thousands of existing public charging stations plotted across Sweden, with live availability counts, used to see existing supply before scoring a new site.
Figure 1. PlaceVolt's Market Map renders the real, live Swedish charging dataset (~14,000 stations from NOBIL) so you can see existing supply and competition before scoring a candidate. Source: NOBIL / Swedish Energy Agency (CC BY 4.0), processed by PlaceVolt.

Layer 2 — Scoring a specific point in Kalmar

PlaceVolt derives a representative point for the municipality's opportunity — the data-weighted centre of its demand, at 56.6694° N, 16.3432° E (central Kalmar, near Malmen/Södra vägen). This is a screening centroid from open data, not a surveyed parcel: treat it as "start looking around here," then walk the streets.

Running that point through PlaceVolt's per-address model returns a Site Potential Score in the "high" band, with the seven factors weighted as below. The composite is a screening signal, so the useful read is the shape of the profile — which factors carry the point and which drag it — more than the single integer.

Kalmar representative point — Site Potential Score factor breakdown Horizontal bar chart of seven factors on a 0 to 100 scale: demand 58, charging gap 70, access and mobility 85, site-type fit 72, competition quality 78, reliability opportunity 64, energy context 62. A dashed line marks the composite screening score of 70 in the high band. 0 50 100 composite 70 Demand 30% 58 Charging gap 25% 70 Access & mobility 15% 85 Site-type fit 10% 72 Competition quality 10% 78 Reliability opp. 5% 64 Energy context 5% 62
Figure 2. Site Potential Score factor breakdown at the Kalmar representative point (0–100 per factor; the percentage is each factor's weight in the composite). The point is carried by strong access/mobility (85) and healthy, non-saturated competition (78); demand at this exact centroid (58) is the softest factor. Composite lands in the "high" band. These are the launch-preview model outputs — see the caveat below.

What each factor measures (the PlaceVolt Site Potential model)

FactorWeightOpen-data basis (proxy)
Demand30%Population, cars-per-capita, EV registration trend, income (SCB)
Charging gap25%Existing charger supply vs demand in the catchment (NOBIL)
Access & mobility15%Road context and traffic exposure (Trafikverket, Lantmäteriet)
Site-type fit10%Match between the location type and dwell/charging behaviour
Competition quality10%Density, operator mix and saturation of nearby chargers (NOBIL)
Reliability opportunity5%Room to serve where nearby supply is thin or ageing
Energy context5%Electricity bidding-area context (Svenska kraftnät)

At this point the model also reports the local competition it can see: about one charger within 1 km and nine within 3 km, dominant operator E.ON Energilösningar AB, and a low saturation risk — i.e. demonstrated demand without the corner already being crowded. Its confidence in the read is 0.72, and it explicitly claims no revenue or utilisation figure.

Launch-data caveat (stated by the tool itself). The per-address numbers above come from PlaceVolt's launch edge, which currently runs on public/open plus demo data until the full geospatial (PostGIS) origin replaces it. So read Layer 2 as a screening pass, not a production per-parcel valuation — the band and the factor shape are the signal; the exact integers will firm up as the production data origin lands. The regional Layer-1 opportunity row, by contrast, is computed from the live open datasets.
Street map of central Kalmar, Sweden, with a marker at 56.6694° N, 16.3432° E near Malmen and Södra vägen, showing the representative screening point relative to Kalmar city centre, the airport and the coast.
Figure 3. The representative screening point in central Kalmar (marker at 56.6694° N, 16.3432° E). This is an open-data demand centroid — a place to start a site walk, not a recommended parcel. Base map © OpenStreetMap contributors.
PlaceVolt Site Score screen in the product, showing a scored address with its band, an explainable factor breakdown, confidence level and data sources.
Figure 4. The same Site Potential Score inside the PlaceVolt app: band, explainable factor breakdown, confidence and the exact data sources behind the number — the trust surface every score and report carries.

How to read this honestly

A good screening tool is one that is clear about its own limits. For this Kalmar example specifically:

Reproduce every number yourself

None of this is a black box. The two API calls below return the exact figures used above:

# Layer 1 — Kalmar's regional opportunity row (live open data)
curl -s "https://api.placevolt.com/api/signal-sites/0880"

# Layer 2 — per-address screening pass at the representative point
curl -s -X POST "https://api.placevolt.com/api/site-score" \
  -H "content-type: application/json" \
  -d '{"latitude":56.6694,"longitude":16.3432,"site_type":"retail"}'

The full source registry, licences and refresh dates are on the app's coverage & sources pages.

Score your own site in Kalmar — or anywhere in Sweden

Check a single address free, no account needed. Unlock the full report — breakdown, competition and sources — when it's worth it. For CPOs, investors and EPC (engineering-procurement-construction) teams, the 3-site pilot audit screens a shortlist before you spend on feasibility studies.

Data sources & attribution

This example uses open, licensed public data only, processed by PlaceVolt:

Scores are derived from open-data proxies and should be validated with site feasibility, grid connection, permits and private utilisation data before investment decisions. This is a potential/opportunity score, not a revenue forecast.