Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hunterdon County, NJ
Series ID MHICILBNJ34019A052NCEN
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 49318
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 61501
1994-01-01 .
1995-01-01 63221
1996-01-01 .
1997-01-01 69100
1998-01-01 71123
1999-01-01 71739
2000-01-01 74583
2001-01-01 76130
2002-01-01 78384
2003-01-01 78844
2004-01-01 82181
2005-01-01 88129
2006-01-01 88897
2007-01-01 96146
2008-01-01 97861
2009-01-01 94442
2010-01-01 91109
2011-01-01 93928
2012-01-01 97167
2013-01-01 100886
2014-01-01 98740
2015-01-01 98817
2016-01-01 108076
2017-01-01 106053
2018-01-01 106600
2019-01-01 108927
2020-01-01 107000
2021-01-01 114946
2022-01-01 125317
2023-01-01 128255

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