FILTER
Cypher 25 onlyIntroduced in Neo4j 2025.06

FILTER is used to add filters to queries, similar to Cypher^®'s WHERE. Unlike WHERE, FILTER is not a subclause, which means it can be used independently of the MATCH, OPTIONAL MATCH, and WITH clauses, but not within them.

Example graph

The following graph is used for the examples below:

To recreate the graph, run the following query in an empty Neo4j database:

CREATE (andy:Swedish:Person {name: 'Andy', age: 36}),
       (timothy:Person {name: 'Timothy', age: 38}),
       (peter:Person {name: 'Peter', age: 35}),
       (lisa:Person {name: 'Lisa', age: 48}),
       (john:Person {name: 'John', age: 40}),
       (susan:Person {name: 'Susan', age: 32}),
       (andy)-[:KNOWS {since: 2012}]->(timothy),
       (andy)-[:KNOWS {since: 1999}]->(peter),
       (peter)-[:KNOWS {since: 2005}]->(lisa),
       (lisa)-[:KNOWS {since: 2010}]->(john),
       (john)-[:KNOWS {since: 2021}]->(susan)

Basic filtering

Filter on a node label

MATCH (n)
FILTER n:Swedish
RETURN n.name AS name

Result
name
`"Andy"`
`Rows: 1`

Filter on a node property

MATCH (n:Person)
FILTER n.age < 35
RETURN n.name AS name, n.age AS age

Result
name	age
`"Susan"`	`32`
`Rows: 1`

Filter on a relationship property

MATCH (p:Person)-[r:KNOWS]->(n:Person)
FILTER r.since > 2010
RETURN p.name AS person,
       r.since AS knowsSince,
       n.name AS otherPerson

Result
person	knowsSince	otherPerson
`"Andy"`	`2012`	`"Timothy"`
`"John"`	`2021`	`"Susan"`
`Rows: 2`

Filter on dynamic labels and types

To filter on a label or relationship type using a dynamically computed value, use $(<expr>) where <expr> is any Cypher expression:

Parameters

{
  "label": "Swedish"
}

Filter on a dynamically computed node label

MATCH (n)
FILTER n:$($label)
RETURN labels(n) AS labels

Result
labels
`["Person", "Swedish"]`
Rows: 1

Filter on dynamic properties

To filter on a property using a dynamically computed name, use square brackets []:

Parameters

{
  "propname": "age"
}

Filter on a dynamically computed node property

MATCH (n:Person)
FILTER n[$propname] > 40
RETURN n.name AS name, n.age AS age

Result
name	age
`"Lisa"`	`48`
Rows: 1

Differences between `FILTER` and `WHERE`

FILTER and WHERE are both used to apply filter to queries. However, there are a number of important differences between them that arise from the fact that FILTER is a clause and WHERE is a subclause:

FILTER acts on entities after they have been matched, whereas WHERE constrains what rows get matched before the match is performed.
FILTER cannot be used within MATCH, OPTIONAL MATCH, or WITH clauses but only alongside them. This means that, unlike WHERE, FILTER cannot be used to add filters inside patterns.

Example 1. Distinction between FILTER and WHERE

This OPTIONAL MATCH example highlights the differences between the WHERE subclause and the FILTER clause.

WHERE constraining an OPTIONAL MATCH pattern

UNWIND [32,37,40] AS ageValue
OPTIONAL MATCH (p:Person)
WHERE p.age = ageValue
RETURN p.name AS name, p.age AS age

Result
name	age
`"Susan"`	`32`
`NULL`	`NULL`
`"John"`	`40`
Rows: 3

Because WHERE is a subclause belonging to OPTIONAL MATCH, it only filters the matches, but does not affect the number of returned rows. In this case, OPTIONAL MATCH always keeps all rows from UNWIND, and WHERE does not remove any rows returning NULL. The same is not true if WHERE is exchanged for FILTER:

FILTER adding post-filtering to OPTIONAL MATCH

UNWIND [32,37,40] AS ageValue
OPTIONAL MATCH (p:Person)
FILTER p.age = ageValue
RETURN p.name AS name, p.age AS age

Result
name	age
`"Susan"`	`32`
`"John"`	`40`
Rows: 2

Unlike WHERE, FILTER is not part of the OPTIONAL MATCH and so removes entire rows from the result set based on the condition provided within the expression. That is, when OPTIONAL MATCH fails to find a match and p is NULL, FILTER p.age = ageValue cannot be evaluated, causing the entire row to be removed.

Example 2. FILTER cannot be used within patterns

Because WHERE is a subclause qualifying a described pattern, it can be used inside patterns.

WHERE inside a node pattern

WITH 35 AS minAge
MATCH (a:Person WHERE a.name = 'Andy')-[:KNOWS]->(b:Person WHERE b.age > minAge)
RETURN b.name AS name

Result
name
`"Timothy"`
Rows: 1

The same is not true for FILTER which, as a clause, cannot be placed with a pattern.

Not allowed — FILTER inside a pattern

WITH 35 AS minAge
MATCH (a:Person FILTER a.name = 'Andy')-[:KNOWS]->(b:Person FILTER b.age > minAge)
RETURN b.name AS name

For more information about how to use WHERE in fixed-length and variable-length pattern matching, see WHERE → Filter patterns.

`FILTER` as a substitute for `WITH * WHERE`

Unlike WHERE, which relies on MATCH, OPTIONAL MATCH, or WITH to define its scope, FILTER can filter queries independently of these clauses. This can make some queries more concise.

For example, the following two queries are equivalent:

Filter using WITH * WHERE

UNWIND [1, 2, 3, 4, 5, 6] AS x
WITH x
WHERE x > 2
RETURN x

Filter using FILTER

UNWIND [1, 2, 3, 4, 5, 6] AS x
FILTER x > 2
RETURN x

As such, FILTER can be seen as a substitute for the WITH * WHERE <predicate> constructs in Cypher.

Example 3. Using FILTER instead of WITH * WHERE in LOAD CSV

The following two LOAD CSV commands are equivalent:

companies.csv

Id,Name,Location,Email,BusinessType
1,Neo4j,San Mateo,contact@neo4j.com,P
2,AAA,,info@aaa.com,
3,BBB,Chicago, info@ ,G
,CCC,Michigan,info@ccc.com,G

LOAD CSV using WITH * WHERE

LOAD CSV WITH HEADERS FROM 'file:///companies.csv' AS row
WITH row
WHERE row.Id IS NOT NULL
MERGE (c:Company {id: row.Id})

LOAD CSV using FILTER

LOAD CSV WITH HEADERS FROM 'file:///companies.csv' AS row
FILTER row.Id IS NOT NULL
MERGE (c:Company {id: row.Id})

However, while FILTER can act as a substitute for WITH * WHERE <predicate> constructs, it does not include the ability of WITH to manipulate the variables in scope for subsequent clauses. Nor can FILTER alias or create new variables. In other words, FILTER only has the function of WITH * WHERE <predicate> and not WITH <selectedVariable> AS <newVariableName> WHERE <predicate>.

FILTERCypher 25 onlyIntroduced in Neo4j 2025.06