Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hudson County, NJ
Series ID MHICILBNJ34017A052NCEN
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 24884
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27722
1994-01-01 .
1995-01-01 29800
1996-01-01 .
1997-01-01 32245
1998-01-01 33136
1999-01-01 34672
2000-01-01 36447
2001-01-01 36137
2002-01-01 36159
2003-01-01 36701
2004-01-01 38083
2005-01-01 42082
2006-01-01 46122
2007-01-01 49716
2008-01-01 53002
2009-01-01 53854
2010-01-01 51326
2011-01-01 52658
2012-01-01 53891
2013-01-01 54047
2014-01-01 55552
2015-01-01 58430
2016-01-01 61211
2017-01-01 62522
2018-01-01 71198
2019-01-01 75224
2020-01-01 72957
2021-01-01 76316
2022-01-01 79480
2023-01-01 85757

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