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The current value of the Housing Starts in Norway is 1,820 Units. The Housing Starts in Norway increased to 1,820 Units on 4/1/2024, after it was 1,522 Units on 3/1/2024. From 1/1/2000 to 5/1/2024, the average GDP in Norway was 2,351.88 Units. The all-time high was reached on 3/1/2006 with 4,113 Units, while the lowest value was recorded on 7/1/2009 with 1,133 Units.
Housing Starts ·
3 years
5 years
10 years
25 Years
Max
Housing starts | |
---|---|
1/1/2000 | 1,785 units |
2/1/2000 | 1,914 units |
3/1/2000 | 2,023 units |
4/1/2000 | 1,437 units |
5/1/2000 | 1,852 units |
6/1/2000 | 1,729 units |
7/1/2000 | 2,024 units |
8/1/2000 | 1,909 units |
9/1/2000 | 2,152 units |
10/1/2000 | 2,090 units |
11/1/2000 | 2,070 units |
12/1/2000 | 2,325 units |
1/1/2001 | 2,104 units |
2/1/2001 | 2,063 units |
3/1/2001 | 2,214 units |
4/1/2001 | 2,097 units |
5/1/2001 | 2,233 units |
6/1/2001 | 2,044 units |
7/1/2001 | 2,836 units |
8/1/2001 | 2,041 units |
9/1/2001 | 2,025 units |
10/1/2001 | 1,876 units |
11/1/2001 | 2,043 units |
12/1/2001 | 1,832 units |
1/1/2002 | 1,819 units |
2/1/2002 | 2,184 units |
3/1/2002 | 1,721 units |
4/1/2002 | 2,005 units |
5/1/2002 | 1,855 units |
6/1/2002 | 1,730 units |
7/1/2002 | 1,591 units |
8/1/2002 | 1,924 units |
9/1/2002 | 2,090 units |
10/1/2002 | 1,655 units |
11/1/2002 | 1,992 units |
12/1/2002 | 1,791 units |
1/1/2003 | 2,225 units |
2/1/2003 | 1,444 units |
3/1/2003 | 2,092 units |
4/1/2003 | 1,427 units |
5/1/2003 | 1,628 units |
6/1/2003 | 1,893 units |
7/1/2003 | 2,010 units |
8/1/2003 | 1,907 units |
9/1/2003 | 1,859 units |
10/1/2003 | 2,093 units |
11/1/2003 | 1,679 units |
12/1/2003 | 2,085 units |
1/1/2004 | 1,845 units |
2/1/2004 | 2,515 units |
3/1/2004 | 1,485 units |
4/1/2004 | 2,517 units |
5/1/2004 | 2,562 units |
6/1/2004 | 3,059 units |
7/1/2004 | 2,738 units |
8/1/2004 | 2,711 units |
9/1/2004 | 2,172 units |
10/1/2004 | 2,897 units |
11/1/2004 | 2,449 units |
12/1/2004 | 2,336 units |
1/1/2005 | 2,697 units |
2/1/2005 | 2,688 units |
3/1/2005 | 2,072 units |
4/1/2005 | 3,148 units |
5/1/2005 | 3,136 units |
6/1/2005 | 1,582 units |
7/1/2005 | 2,682 units |
8/1/2005 | 2,442 units |
9/1/2005 | 2,402 units |
10/1/2005 | 2,520 units |
11/1/2005 | 2,970 units |
12/1/2005 | 3,431 units |
1/1/2006 | 2,438 units |
2/1/2006 | 2,360 units |
3/1/2006 | 4,113 units |
4/1/2006 | 2,572 units |
5/1/2006 | 2,319 units |
6/1/2006 | 2,652 units |
7/1/2006 | 2,457 units |
8/1/2006 | 2,446 units |
9/1/2006 | 2,478 units |
10/1/2006 | 2,810 units |
11/1/2006 | 2,400 units |
12/1/2006 | 4,039 units |
1/1/2007 | 3,012 units |
2/1/2007 | 2,764 units |
3/1/2007 | 2,711 units |
4/1/2007 | 3,118 units |
5/1/2007 | 2,721 units |
6/1/2007 | 2,511 units |
7/1/2007 | 2,425 units |
8/1/2007 | 2,704 units |
9/1/2007 | 2,719 units |
10/1/2007 | 2,597 units |
11/1/2007 | 2,759 units |
12/1/2007 | 2,284 units |
1/1/2008 | 2,149 units |
2/1/2008 | 2,216 units |
3/1/2008 | 2,220 units |
4/1/2008 | 1,816 units |
5/1/2008 | 2,385 units |
6/1/2008 | 2,476 units |
7/1/2008 | 1,753 units |
8/1/2008 | 2,368 units |
9/1/2008 | 2,427 units |
10/1/2008 | 1,894 units |
11/1/2008 | 2,236 units |
12/1/2008 | 1,904 units |
1/1/2009 | 1,889 units |
2/1/2009 | 1,778 units |
3/1/2009 | 1,780 units |
4/1/2009 | 1,227 units |
5/1/2009 | 1,838 units |
6/1/2009 | 1,518 units |
7/1/2009 | 1,133 units |
8/1/2009 | 1,663 units |
9/1/2009 | 1,709 units |
10/1/2009 | 1,765 units |
11/1/2009 | 1,559 units |
12/1/2009 | 1,596 units |
1/1/2010 | 1,828 units |
2/1/2010 | 1,955 units |
3/1/2010 | 1,490 units |
4/1/2010 | 1,737 units |
5/1/2010 | 1,440 units |
6/1/2010 | 1,586 units |
7/1/2010 | 1,838 units |
8/1/2010 | 1,647 units |
9/1/2010 | 1,719 units |
10/1/2010 | 1,849 units |
11/1/2010 | 2,152 units |
12/1/2010 | 1,938 units |
1/1/2011 | 2,438 units |
2/1/2011 | 2,411 units |
3/1/2011 | 2,772 units |
4/1/2011 | 2,638 units |
5/1/2011 | 2,348 units |
6/1/2011 | 1,961 units |
7/1/2011 | 2,283 units |
8/1/2011 | 2,075 units |
9/1/2011 | 1,897 units |
10/1/2011 | 2,708 units |
11/1/2011 | 2,052 units |
12/1/2011 | 2,218 units |
1/1/2012 | 2,060 units |
2/1/2012 | 2,081 units |
3/1/2012 | 2,497 units |
4/1/2012 | 2,116 units |
5/1/2012 | 2,693 units |
6/1/2012 | 2,878 units |
7/1/2012 | 2,764 units |
8/1/2012 | 2,751 units |
9/1/2012 | 2,943 units |
10/1/2012 | 2,327 units |
11/1/2012 | 2,421 units |
12/1/2012 | 2,653 units |
1/1/2013 | 2,585 units |
2/1/2013 | 3,393 units |
3/1/2013 | 2,094 units |
4/1/2013 | 2,412 units |
5/1/2013 | 2,212 units |
6/1/2013 | 2,327 units |
7/1/2013 | 2,038 units |
8/1/2013 | 2,565 units |
9/1/2013 | 2,546 units |
10/1/2013 | 2,536 units |
11/1/2013 | 2,590 units |
12/1/2013 | 2,940 units |
1/1/2014 | 1,697 units |
2/1/2014 | 2,321 units |
3/1/2014 | 2,370 units |
4/1/2014 | 1,635 units |
5/1/2014 | 3,519 units |
6/1/2014 | 2,487 units |
7/1/2014 | 2,763 units |
8/1/2014 | 2,192 units |
9/1/2014 | 1,607 units |
10/1/2014 | 2,331 units |
11/1/2014 | 2,302 units |
12/1/2014 | 2,107 units |
1/1/2015 | 2,409 units |
2/1/2015 | 2,239 units |
3/1/2015 | 2,861 units |
4/1/2015 | 2,669 units |
5/1/2015 | 2,583 units |
6/1/2015 | 2,386 units |
7/1/2015 | 2,272 units |
8/1/2015 | 2,539 units |
9/1/2015 | 2,514 units |
10/1/2015 | 3,155 units |
11/1/2015 | 2,588 units |
12/1/2015 | 2,531 units |
1/1/2016 | 2,484 units |
2/1/2016 | 3,013 units |
3/1/2016 | 2,628 units |
4/1/2016 | 2,945 units |
5/1/2016 | 3,290 units |
6/1/2016 | 3,390 units |
7/1/2016 | 2,467 units |
8/1/2016 | 3,454 units |
9/1/2016 | 3,069 units |
10/1/2016 | 2,910 units |
11/1/2016 | 3,333 units |
12/1/2016 | 3,511 units |
1/1/2017 | 3,098 units |
2/1/2017 | 3,084 units |
3/1/2017 | 3,530 units |
4/1/2017 | 2,903 units |
5/1/2017 | 2,651 units |
6/1/2017 | 3,706 units |
7/1/2017 | 3,290 units |
8/1/2017 | 2,383 units |
9/1/2017 | 2,944 units |
10/1/2017 | 2,548 units |
11/1/2017 | 2,474 units |
12/1/2017 | 2,678 units |
1/1/2018 | 2,696 units |
2/1/2018 | 2,764 units |
3/1/2018 | 2,323 units |
4/1/2018 | 2,449 units |
5/1/2018 | 2,390 units |
6/1/2018 | 2,145 units |
7/1/2018 | 2,618 units |
8/1/2018 | 3,221 units |
9/1/2018 | 2,454 units |
10/1/2018 | 2,877 units |
11/1/2018 | 2,979 units |
12/1/2018 | 2,645 units |
1/1/2019 | 3,037 units |
2/1/2019 | 2,719 units |
3/1/2019 | 2,354 units |
4/1/2019 | 3,068 units |
5/1/2019 | 2,834 units |
6/1/2019 | 2,753 units |
7/1/2019 | 2,948 units |
8/1/2019 | 3,057 units |
9/1/2019 | 2,642 units |
10/1/2019 | 2,276 units |
11/1/2019 | 2,449 units |
12/1/2019 | 1,722 units |
1/1/2020 | 2,298 units |
2/1/2020 | 2,309 units |
3/1/2020 | 2,526 units |
4/1/2020 | 2,207 units |
5/1/2020 | 2,735 units |
6/1/2020 | 2,388 units |
7/1/2020 | 2,635 units |
8/1/2020 | 2,464 units |
9/1/2020 | 2,386 units |
10/1/2020 | 2,535 units |
11/1/2020 | 2,791 units |
12/1/2020 | 2,628 units |
1/1/2021 | 2,505 units |
2/1/2021 | 2,542 units |
3/1/2021 | 2,460 units |
4/1/2021 | 3,013 units |
5/1/2021 | 2,387 units |
6/1/2021 | 2,862 units |
7/1/2021 | 1,647 units |
8/1/2021 | 2,089 units |
9/1/2021 | 2,921 units |
10/1/2021 | 2,702 units |
11/1/2021 | 2,116 units |
12/1/2021 | 2,648 units |
1/1/2022 | 2,691 units |
2/1/2022 | 2,474 units |
3/1/2022 | 3,027 units |
4/1/2022 | 1,903 units |
5/1/2022 | 3,041 units |
6/1/2022 | 2,510 units |
7/1/2022 | 2,443 units |
8/1/2022 | 1,970 units |
9/1/2022 | 2,602 units |
10/1/2022 | 2,602 units |
11/1/2022 | 2,147 units |
12/1/2022 | 2,370 units |
1/1/2023 | 1,844 units |
2/1/2023 | 2,180 units |
3/1/2023 | 2,077 units |
4/1/2023 | 1,176 units |
5/1/2023 | 1,764 units |
6/1/2023 | 1,882 units |
7/1/2023 | 1,813 units |
8/1/2023 | 2,420 units |
9/1/2023 | 1,777 units |
10/1/2023 | 1,764 units |
11/1/2023 | 2,271 units |
12/1/2023 | 1,851 units |
1/1/2024 | 2,065 units |
2/1/2024 | 1,989 units |
3/1/2024 | 1,522 units |
4/1/2024 | 1,820 units |
Housing Starts History
Date | Value |
---|---|
4/1/2024 | 1,820 Units |
3/1/2024 | 1,522 Units |
2/1/2024 | 1,989 Units |
1/1/2024 | 2,065 Units |
12/1/2023 | 1,851 Units |
11/1/2023 | 2,271 Units |
10/1/2023 | 1,764 Units |
9/1/2023 | 1,777 Units |
8/1/2023 | 2,420 Units |
7/1/2023 | 1,813 Units |
Similar Macro Indicators to Housing Starts
Name | Current | Previous | Frequency |
---|---|---|---|
🇳🇴 Average House Prices | 3.774 M NOK | 3.75 M NOK | Monthly |
🇳🇴 Building Permits | 1,554 Units | 1,214 Units | Monthly |
🇳🇴 Home Price Index MoM | -0.1 % | 0.4 % | Monthly |
🇳🇴 Homeownership Rate | 79.2 % | 79.4 % | Annually |
🇳🇴 Housing Index | 336.236 points | 340.597 points | Monthly |
🇳🇴 Housing Price Index YoY | 2.4 % | 2.2 % | Monthly |
🇳🇴 New Home Sales | 11,329 Units | 10,900 Units | Monthly |
🇳🇴 Price-Rent Ratio | 117.567 | 118.699 | Quarter |
🇳🇴 Residential property prices | 1.21 % | -0.73 % | Quarter |
Macro pages for other countries in Europe
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- 🇭🇺Hungary
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What is Housing Starts?
Housing Starts: A Critical Indicator of Economic Health Housing Starts is a pivotal economic indicator which measures the number of new residential construction projects that have begun during a particular period, typically reported monthly or annually. This metric is a vital barometer of the construction industry's health and a significant contributor to the broader economic landscape. At eulerpool, we provide comprehensive and accurate macroeconomic data, and understanding Housing Starts is crucial for stakeholders aiming to gauge economic momentum and anticipate future market conditions. Housing Starts are generally categorized into three distinct types of homes: single-family units, multi-family units, and apartments or condos. Each of these categories plays a unique role in painting the overall picture of housing market dynamics. Single-family units often reflect consumer confidence and individual financial stability, while multi-family units and apartment starts tend to mirror broader demographic trends and urbanization patterns. The significance of Housing Starts extends beyond the construction sector, impacting various aspects of the economy. For instance, an increase in Housing Starts often signals that developers are optimistic about future economic conditions, expecting consumer demand to align with the new supply. Such optimism can be contagious, fostering consumer confidence and encouraging further investment across different sectors. Conversely, a decline in Housing Starts may indicate waning confidence and can be an early warning sign of an economic downturn. Several factors contribute to fluctuations in Housing Starts. Interest rates play a pivotal role, as lower borrowing costs encourage builders to initiate new projects, while higher rates generally dampen such activities. Additionally, broader economic conditions, including employment rates, GDP growth, and consumer confidence, directly influence home-building trends. Policies related to zoning, building codes, and financing also significantly impact Housing Starts. For instance, government incentives for first-time home buyers can spur residential construction, while stringent zoning laws might constrain new developments. At eulerpool, we acknowledge that Housing Starts data is not just about numbers; it is about understanding underlying economic narratives. Regional variations in Housing Starts are particularly revealing. For example, high Housing Starts in urban areas may indicate robust economic activity and an influx of jobs, while slower growth in rural areas might point to economic stagnation or declining populations. By analyzing regional trends, stakeholders can better understand localized economic health and make more informed investment decisions. Housing Starts also have a profound impact on related industries. The construction of new homes stimulates demand for building materials, such as lumber, steel, and cement. This ripple effect extends to the manufacturing sector, further boosting economic activity. Additionally, new housing developments create jobs not just in construction but also in the ancillary services required to support new communities—plumbing, electrical work, landscaping, and interior design, to name a few. Moreover, the cascading effects of Housing Starts influence the financial markets. Positive trends in Housing Starts can lead to bullish behavior in stock markets, particularly benefiting shares of companies involved in construction, manufacturing of building materials, and home improvement retail. Real estate investment trusts (REITs) also gain from a surge in new residential projects, as increased housing stock can lead to higher rental income and occupancy rates. Similarly, bond markets may react to Housing Starts data, as increased economic activity can affect interest rate expectations. One cannot overlook the link between Housing Starts and the monetary policies of central banks. A surge in Housing Starts, indicating a booming construction sector, might push central banks towards tightening monetary policy to preempt inflationary pressures. Conversely, sluggish Housing Starts can prompt accommodative monetary policies aimed at stimulating economic activity. Hence, stakeholders closely monitor Housing Starts as part of the broader mosaic of indicators to anticipate shifts in monetary policy. In the current digital age, predictive analytics and real-time data have further elevated the importance of Housing Starts. At eulerpool, we leverage advanced analytics and data visualization tools to provide users with real-time insights into Housing Starts trends. This real-time data is invaluable for policymakers, investors, and business leaders who need to react swiftly to changing market conditions. The granularity of our data enables users to drill down into specifics, from regional variations to the types of housing being developed, providing a multi-dimensional view of the housing market. Housing Starts are also a reflection of changing socio-economic trends. For instance, the rise of remote work culture has triggered new housing preferences, with increased demand for larger homes in suburban and rural areas. Tracking these shifts through Housing Starts data allows stakeholders to better understand evolving consumer trends and adjust their strategies accordingly. Similarly, sustainability trends are increasingly influencing Housing Starts, with a growing emphasis on green buildings and energy-efficient homes. Understanding the landscape of Housing Starts is essential for government agencies as well. Accurate Housing Starts data enables effective urban planning, ensuring that infrastructure development keeps pace with new housing projects. It helps in identifying potential areas of housing shortages or surpluses, enabling timely interventions to balance supply and demand. Moreover, Housing Starts data is instrumental in addressing affordable housing challenges, guiding policies that aim to make housing more accessible to all economic segments. In conclusion, Housing Starts is more than just a statistic; it is a dynamic and multi-faceted indicator that provides deep insights into various aspects of the economy. At eulerpool, our mission is to help stakeholders decipher these complex narratives through accurate and timely macroeconomic data. Whether you are a policy maker, investor, or business leader, understanding Housing Starts is crucial for making informed, strategic decisions. With the right insights, you can anticipate market trends, mitigate risks, and seize opportunities that drive economic growth and prosperity.