# \$1lte
<a name="lte-aggregation"></a>

The `$lte` aggregation operator compares two values and returns `true` if the first value is less than or equal to the second, otherwise returns `false`.

**Parameters**
+ `expression1`: The first value to compare.
+ `expression2`: The second value to compare.

## Example (MongoDB Shell)
<a name="lte-aggregation-examples"></a>

The following example demonstrates using the `$lte` operator to identify budget-friendly items.

**Create sample documents**

```
db.menu.insertMany([
  { _id: 1, dish: "Salad", price: 8 },
  { _id: 2, dish: "Pasta", price: 12 },
  { _id: 3, dish: "Soup", price: 6 }
]);
```

**Query example**

```
db.menu.aggregate([
  {
    $project: {
      dish: 1,
      price: 1,
      affordable: { $lte: ["$price", 10] }
    }
  }
]);
```

**Output**

```
[
  { _id: 1, dish: 'Salad', price: 8, affordable: true },
  { _id: 2, dish: 'Pasta', price: 12, affordable: false },
  { _id: 3, dish: 'Soup', price: 6, affordable: true }
]
```

## Code examples
<a name="lte-aggregation-code"></a>

To view a code example for using the `$lte` aggregation operator, choose the tab for the language that you want to use:

------
#### [ Node.js ]

```
const { MongoClient } = require('mongodb');

async function example() {
  const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false');
  const db = client.db('test');
  const collection = db.collection('menu');

  const result = await collection.aggregate([
    {
      $project: {
        dish: 1,
        price: 1,
        affordable: { $lte: ["$price", 10] }
      }
    }
  ]).toArray();

  console.log(result);
  await client.close();
}

example();
```

------
#### [ Python ]

```
from pymongo import MongoClient

def example():
    client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
    db = client['test']
    collection = db['menu']

    result = list(collection.aggregate([
        {
            '$project': {
                'dish': 1,
                'price': 1,
                'affordable': { '$lte': ['$price', 10] }
            }
        }
    ]))

    print(result)
    client.close()

example()
```

------