United States building permits

The US building permits is a leading indicator of the US housing sector and the US economy. MacroVar analyses historical and current data of US building permits since 1960.

US building permits index is published by the Census Bureau and is included in the U.S. housing starts report. US building permits are released every second or third week of the month with data from the previous month.

United States building permits Chart

United States’s building permits icnreased to 1653.0 by 4.22% on October 2021 from 1586.0 in the previous month. On a year on year basis United States’s building permits increased by 3.64%. United States’s building permits trend is down since the current value of1653.0 is lower than the 12 month moving average of 1701.5. and the 12 month moving average slope is up.United States’s building permits 5-year percentile is currently at 4000.0%.

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Date	Value
31-07-22	1.674,00
30-06-22	1.696,00
31-05-22	1.695,00
30-04-22	1.823,00
31-03-22	1.879,00
28-02-22	1.857,00
31-01-22	1.841,00
31-12-21	1.896,00
30-11-21	1.729,00
31-10-21	1.698,00

Copy the following Code to your Website

MacroVar API for Python offers free access to last 5 years of historical data. click the Copy Button below and run code in your computer.
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Use your username and password in the code below.

MacroVar API Python Script
Instructions: 1. Insert your username, password 2. variable name, start date, end date 3. Run Script
import http.client 
from urllib.parse import quote 
import pandas as pd 
class MacroVar(object): 
user_name, password, conn, headers, payload = None, None, None, None, None 
def __init__(self, user_name, password): 
self.auth(user_name, password) 
self.conn = http.client.HTTPConnection("api.MacroVar.com:8080") 
def auth(self, user_name, password): 
self.user_name = user_name 
self.password = password 
self.headers = {'Authorization': '{};{}'.format(self.user_name, self.password)} 
def get_vars(self): 
self.conn.request(method="GET", url="/vars", headers=self.headers) 
response = self.conn.getresponse() 
data = response.read() 
str_data = data.decode("utf-8") 
return str_data.split(',') 
def load_data(self, var_name, start_date=None, end_date=None): 
v = self.get_vars() 
if var_name not in v: 
raise ValueError('Variable name not found, check the get_vars() result.') 
params = 'name={}'.format(quote(var_name)) 
if start_date: 
params += '&start_date={}'.format(start_date) 
if end_date: 
params += '&end_date={}'.format(end_date) 
url = "/query?" + params 
self.conn.request(method="GET", url=url, headers=self.headers) 
response = self.conn.getresponse() 
if response.status == 200: 
data = response.read() 
str_data = data.decode("utf-8") 
data_rows = str_data.split('\r\n') 
if len(data_rows) <= 1: 
return data_rows 
data_arr = [] 
for d in data_rows: 
data_arr.append(d.split(',')) 
d = data_arr[:-1] # skip the last empty row 
return pd.DataFrame(d[2:], columns=d[0]) 
else: 
raise ValueError('Server error {} {}'.format(response.status, response.reason)) 
return None 
if __name__ == '__main__': 
am = MacroVar('MacroVartest', 'test') 
v = am.get_vars() 
d = am.load_data('US-1Y', '2010-01-03', '2019-02-01') 
print (d)

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