Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hartford County, CT
Series ID MHICIUBCT09003A052NCEN
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 2021-01-01
Last Updated 2022-12-21 10:40 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 39749
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43488
1994-01-01 .
1995-01-01 45692
1996-01-01 .
1997-01-01 48560
1998-01-01 50108
1999-01-01 50147
2000-01-01 52435
2001-01-01 51983
2002-01-01 53100
2003-01-01 54266
2004-01-01 56803
2005-01-01 59494
2006-01-01 60427
2007-01-01 62435
2008-01-01 65838
2009-01-01 63429
2010-01-01 61862
2011-01-01 62155
2012-01-01 65402
2013-01-01 65643
2014-01-01 67286
2015-01-01 71515
2016-01-01 71564
2017-01-01 72446
2018-01-01 75357
2019-01-01 77391
2020-01-01 76817
2021-01-01 81799

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