Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New Jersey

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New Jersey
Series ID MHICILBNJ34000A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:32 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 36934
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39808
1994-01-01 .
1995-01-01 42711
1996-01-01 44941
1997-01-01 46124
1998-01-01 47745
1999-01-01 49843
2000-01-01 50956
2001-01-01 52769
2002-01-01 53059
2003-01-01 54680
2004-01-01 55557
2005-01-01 61190
2006-01-01 63930
2007-01-01 66589
2008-01-01 69838
2009-01-01 67816
2010-01-01 67011
2011-01-01 66885
2012-01-01 69020
2013-01-01 69689
2014-01-01 71536
2015-01-01 71736
2016-01-01 75530
2017-01-01 79451
2018-01-01 81105
2019-01-01 85040
2020-01-01 85812
2021-01-01 88164
2022-01-01 95260
2023-01-01 98681

Subscribe to the FRED newsletter


Follow us

Back to Top