# Distance in meters when using within\_geo\_range

**URL:** https://forum.weaviate.io/t/distance-in-meters-when-using-within-geo-range/7531
**Category:** Support
**Tags:** technical
**Created:** [November 11, 2024, 7:35am UTC](https://forum.weaviate.io/t/distance-in-meters-when-using-within-geo-range/7531 "2024-11-11T07:35:44Z")
**Posts on this page:** 1
**Showing post:** 2

<div class="post-metadata">

### Author: ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [November 12, 2024, 6:00pm UTC](https://forum.weaviate.io/t/distance-in-meters-when-using-within-geo-range/7531/2 "2024-11-12T18:00:35Z")

</div>

hi @jensenbox !!

That’s interesting. I don’t believe it does 🤔

I will poke internally about it and keep you posted.

I have crafted a small test code for future reference:

```python
client.collections.delete("Test")
collection = client.collections.create(
    "Test",
    vectorizer_config=wvc.config.Configure.Vectorizer.none(),
    properties=[
        wvc.config.Property(name="city_name", data_type=wvc.config.DataType.TEXT),
        wvc.config.Property(name="geo", data_type=wvc.config.DataType.GEO_COORDINATES)
    ]
)
collection.data.insert_many(
    objects=[
        {"city_name": "Belo Horizonte", "geo": {"latitude": -19.9191, "longitude": -43.9387}},
        {"city_name": "Amsterdam", "geo": {"latitude": 52.377956, "longitude": 4.897070}},
        {"city_name": "São Paulo", "geo": {"latitude": -23.5558, "longitude": -46.6396}},
        {"city_name": "Tokyo", "geo": {"latitude": 35.6764, "longitude": 139.6500}},
        {"city_name": "New York", "geo": {"latitude": 40.7128, "longitude": -74.0060}},
        {"city_name": "Paris", "geo": {"latitude": 48.8566, "longitude": 2.3522}},
        {"city_name": "Sydney", "geo": {"latitude": -33.8688, "longitude": 151.2093}},
        {"city_name": "Cape Town", "geo": {"latitude": -33.9249, "longitude": 18.4241}},
        {"city_name": "Mumbai", "geo": {"latitude": 19.0760, "longitude": 72.8777}},
        {"city_name": "Moscow", "geo": {"latitude": 55.7558, "longitude": 37.6176}}
    ]
)
query = collection.query.fetch_objects(
    return_metadata=wvc.query.MetadataQuery(distance=True),
    filters=(
        wvc.query.Filter.by_property("geo").within_geo_range(
            wvc.data.GeoCoordinate(
                latitude=-17.8575,
                longitude=-41.5057,
            ),
            distance=1000000
        )
    )
)
for i in query.objects:
    print("#"*10)
    print(i.properties)
    print(i.metadata)

```

the output, as expected:

> ##########  
> {‘geo’: GeoCoordinate(latitude=-23.55579948425293, longitude=-46.63959884643555), ‘city\_name’: ‘São Paulo’}  
> MetadataReturn(creation\_time=None, last\_update\_time=None, distance=None, certainty=None, score=None, explain\_score=None, is\_consistent=None, rerank\_score=None)  
> ##########  
> {‘city\_name’: ‘Belo Horizonte’, ‘geo’: GeoCoordinate(latitude=-19.919099807739258, longitude=-43.93870162963867)}  
> MetadataReturn(creation\_time=None, last\_update\_time=None, distance=None, certainty=None, score=None, explain\_score=None, is\_consistent=None, rerank\_score=None)

So having something like, could be helpful:

```python
return_metadata=wvc.query.MetadataQuery(geo_distance=True),

```

---

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