Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hunterdon County, NJ

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hunterdon County, NJ
Series ID MHICIUBNJ34019A052NCEN
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 2:31 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 53863
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 66076
1994-01-01 .
1995-01-01 69293
1996-01-01 .
1997-01-01 75678
1998-01-01 77772
1999-01-01 82037
2000-01-01 86732
2001-01-01 87630
2002-01-01 90331
2003-01-01 89762
2004-01-01 93593
2005-01-01 97379
2006-01-01 98215
2007-01-01 104032
2008-01-01 106637
2009-01-01 106528
2010-01-01 103955
2011-01-01 104504
2012-01-01 109435
2013-01-01 113520
2014-01-01 109012
2015-01-01 106777
2016-01-01 118596
2017-01-01 120113
2018-01-01 118070
2019-01-01 125623
2020-01-01 120222
2021-01-01 129244
2022-01-01 149351
2023-01-01 144559

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