Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Monmouth County, NJ
Series ID MHICIUBNJ34025A052NCEN
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 43315
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 50940
1994-01-01 .
1995-01-01 55693
1996-01-01 .
1997-01-01 60688
1998-01-01 63166
1999-01-01 66258
2000-01-01 70867
2001-01-01 70306
2002-01-01 73131
2003-01-01 73038
2004-01-01 75781
2005-01-01 76852
2006-01-01 79064
2007-01-01 80148
2008-01-01 84655
2009-01-01 83024
2010-01-01 82608
2011-01-01 82214
2012-01-01 82843
2013-01-01 85762
2014-01-01 90978
2015-01-01 89964
2016-01-01 93231
2017-01-01 100614
2018-01-01 101866
2019-01-01 105294
2020-01-01 107095
2021-01-01 110982
2022-01-01 121152
2023-01-01 120832

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