> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peopledatalabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Types

The Schema pages contain every available field for each dataset. Each field has a listed type. This page includes additional details about the supported data types if they differ from the industry standard definition.

# Array \[Enum (String)]

A comma separated list of enumerated values. You can find the enumerated values here: [Canonical Field Values](https://docs.peopledatalabs.com/docs/canonical-data).

# Array \[Object]

A comma separated list of objects. Our [`naics`](https://docs.peopledatalabs.com/docs/company-schema#naics) field demonstrates this concept.

# Dates

Dates can be accurate to the day (`YYYY-MM-DD`), the month (`YYYY-MM`) or the year (`YYYY`). The most specific date value that we have for a field will be used. In general, dates are stored as `String` values. The `founded` field in the [Company Schema](https://docs.peopledatalabs.com/docs/company-schema) is stored as an `Integer` data type and describes the year the company was founded.

# Enum (String)

A string that contains one of our enumerated values. You can find the enumerated values here: [Canonical Field Values](https://docs.peopledatalabs.com/docs/canonical-data).

# Integer (>=0) or (1-5) or (>0)

Our integers are general positive values and some fields, like [`languages.proficiency`](https://docs.peopledatalabs.com/docs/fields#languages), have a limited range of observed values.

# Object

Fields with this data type contain nested data values. Our [`experience`](https://docs.peopledatalabs.com/docs/fields#experience) and [`education`](https://docs.peopledatalabs.com/docs/fields#education) fields demonstrate this concept.

# Strings

Unless otherwise stated in the Schema page for a field, all strings will be lowercase with all leading or trailing whitespace removed.