Datapizza Salaries

A crowd-sourced dataset of salaries from tech workers in Italy, collected via anonymous survey by Datapizza.

Dataset Description

This dataset contains self-reported salary and professional information from technology workers across Italy. Data is collected through an anonymous survey and updated weekly.

Note: Data submitted before November 6th, 2024 contains only partial information, as the initial survey version did not collect fields like educationType, age, aiUsageFrequency, and others.

Features

Field	Type	Description
jobTitle	string	Job title (e.g., "software_developer", "data_scientist")
monthsOfExperience	int	Professional experience in months
educationType	string	Education level (optional)
companyIndustry	string	Industry sector (optional)
companySize	string	Company headcount range (optional)
province	string	Italian province
workMode	string	Work arrangement
technologies	list[string]	Primary technologies/skills used
salary	int	RAL (Gross Annual Salary) in EUR
age	int	Respondent age (optional)
gender	string	Gender (optional)
aiUsageFrequency	int	AI usage frequency 1-5 (optional)
aiTechnologies	list[string]	AI tools used (optional)
aiTaskTypes	list[string]	AI task types (optional)
aiUpdateSources	list[string]	AI news sources (optional)
admiredTechnologies	list[string]	Technologies respondent wants to learn (optional)
editor	string	Primary code editor/IDE (optional)
rating	int	Survey feedback rating 1-5 (optional)
valid	bool	Submission validation flag
submittedAt	string	Submission timestamp (ISO 8601)

Categorical Values

educationType

high_school, bachelors_degree, masters_degree, phd

companySize

1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001+

workMode

onsite, hybrid, remote

gender

male, female, non_binary, prefer_not_to_say

companyIndustry

bancario, assicurativo, finanziario_altro, consulenza_servizi_professionali, tecnologia_ict, retail_gdo, moda_lusso, manifattura_generica, automotive, chimica_materiali, energia_utilities, telecomunicazioni, sanita_pharma_biotech, media_intrattenimento_editoria, logistica_trasporti, immobiliare_costruzioni, alimentare_beverage, agricoltura_agroindustria, turismo_ospitalita, istruzione_ricerca, non_profit_ong_associazioni, difesa_aerospazio, pubblica_amministrazione_enti_governativi, altro_indeterminato

aiTechnologies

chat_gpt, claude, cursor, claude_code, gemini, microsoft_copilot, github_copilot, codeium, tabnine, amazon_code_whisperer, jetbrains_ai, perplexity, mistral_ai, llama, v0, windsurf, cody, supermaven, continue_dev, devin, replit_ai, bolt

aiTaskTypes

coding, study_tutoring, doc_analysis, data_excel, editing, brainstorming, image_generation, translation, search_research, planning, meeting_notes

aiUpdateSources

x_twitter, newsletter, reddit, hugging_face, hacker_news, youtube, linkedin, podcasts, discord, github, official_blogs

editor

vscode, cursor, neovim, vim, zed, intellij_idea, webstorm, pycharm, sublime_text, emacs, atom, eclipse, visual_studio, android_studio, xcode, windsurf, rider, fleet, phpstorm, goland, rubymine, clion, notepad_plus_plus, helix

Usage

from datasets import load_dataset

dataset = load_dataset("datapizza-ai-lab/salaries")
df = dataset["train"].to_pandas()

# Filter for remote workers in Milan
remote_milan = df[(df["province"] == "Milano") & (df["workMode"] == "remote")]

# Average salary by job title
avg_by_role = df.groupby("jobTitle")["salary"].mean().sort_values(ascending=False)

Source

Data collected via salaries.datapizza.tech — an anonymous salary survey for Italian tech workers.

License

CC-BY-NC-4.0 — You may share and adapt this dataset with attribution for non-commercial purposes.

Citation

@dataset{datapizza_salaries_2024,
  title={Datapizza Salaries: Italian Tech Worker Compensation Dataset},
  author={Datapizza},
  year={2024},
  url={https://huggingface.co/datasets/datapizza-ai-lab/salaries},
  license={CC-BY-NC-4.0}
}