Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Atlantic County, NJ
Series ID MHICIUBNJ34001A052NCEN
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 32840
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36901
1994-01-01 .
1995-01-01 39995
1996-01-01 .
1997-01-01 41032
1998-01-01 42579
1999-01-01 43092
2000-01-01 45966
2001-01-01 44762
2002-01-01 45116
2003-01-01 45896
2004-01-01 47584
2005-01-01 51690
2006-01-01 53478
2007-01-01 57003
2008-01-01 54629
2009-01-01 54623
2010-01-01 53927
2011-01-01 53039
2012-01-01 52737
2013-01-01 53617
2014-01-01 56709
2015-01-01 56322
2016-01-01 58855
2017-01-01 62792
2018-01-01 62527
2019-01-01 65500
2020-01-01 65015
2021-01-01 68884
2022-01-01 79186
2023-01-01 79460

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