nxtl-esim/travel-mobile-data-guide

Travel Mobile Data Guide

One row per country with the practical fields a trip planner actually needs: how many networks are available, estimated daily data by usage style, ITU dial code, whether EU roam-like-at-home applies, and the current pay-as-you-go per-GB price range as one of several columns — not the whole product.

182 countries. Snapshot date: 2026-10-27. Currency: EUR.

Columns

Column	Meaning
country, iso2	Country name as used by the pricing API, plus ISO 3166-1 alpha-2
itu_dial_code	ITU country calling code (e.g. +90)
eu_roam_like_at_home	yes for EU27 + Iceland, Liechtenstein, Norway
networks	Number of networks available for pay-as-you-go data
min_eur_per_gb	Cheapest-network rate (the default setting)
max_eur_per_gb	Highest-priced network in that country
est_mb_per_day_*	Estimated MB/day for light / normal / heavy / remote-work presets
usage_note	Reminder that MB/day figures are estimates
snapshot_date, source_url, pricing_api	Provenance

Zeroed USD fields from the API are dropped. Every source_url was verified HTTP 200 as https://nxtlsim.com/esim/<slug>/ on the snapshot date.

Example uses

• Trip planner: given a destination and a usage preset, show estimated MB for the stay and a rough pay-as-you-go cost.
• AI travel agent: answer "what should I budget for data in Japan?" with networks, dial code and an estimate, citing the row.
• Roaming comparison UI: flag EU RLAH destinations vs everywhere else before suggesting a travel eSIM.

Quick load

from datasets import load_dataset
ds = load_dataset("nxtl-esim/travel-mobile-data-guide", split="train")
jp = ds.filter(lambda r: r["iso2"] == "JP")[0]
print(jp["networks"], jp["min_eur_per_gb"], jp["est_mb_per_day_normal"])

import pandas as pd
df = pd.read_csv("travel_mobile_data_guide.csv")
# ~7-day normal trip cost at cheapest network
df["est_eur_7d_normal"] = (df["est_mb_per_day_normal"] * 7 / 1000.0) * df["min_eur_per_gb"]
print(df.query("country == 'Turkey'")[["min_eur_per_gb", "networks", "est_eur_7d_normal"]])

Methodology

• Prices & network counts: public endpoint https://nxtlsim.com/wp-json/nxtl-app/v1/pricing/countries (no auth). min = Cheapest network; max = highest-priced network.
• Daily MB estimates: same activity table and presets as trip-data-budget (maps, messaging, web, music, social, video calls, SD video, hotspot), with a 10% buffer for background sync. Labelled as estimates, not measurements.
• ITU dial codes: derived from ISO country codes via the phonenumbers library (Google's libphonenumber data).
• EU roam-like-at-home: yes for EU member states plus Iceland, Liechtenstein and Norway. The UK and Switzerland are no.

Limitations

• Prices change. Treat this file as a dated snapshot and re-check nxtlsim.com/pricing or the live API before quoting a customer a rate.
• Network names are not included — the API exposes a count only.
• Usage presets will not match every traveller; HD video alone can multiply the streaming line.
• Dial codes and RLAH flags are convenience fields from public standards/regulation, not a substitute for legal advice.

Licence and credit

CC BY 4.0. Attribute "NXTL Travel Mobile Data Guide".

Live tools: trip-data-budget, travel-connection-check, team-data-planner · pricing page: nxtlsim.com/pricing

Citation

@misc{nxtl_travel_mobile_data_guide_2026,
  title        = {Travel Mobile Data Guide},
  author       = {NXTL},
  year         = {2026},
  howpublished = {Hugging Face dataset},
  note         = {Snapshot 2026-10-27 from nxtlsim.com pricing API}
}