Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Genesee County, NY
Series ID MHICIUBNY36037A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 PM 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 31684
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35844
1994-01-01 .
1995-01-01 38421
1996-01-01 .
1997-01-01 40895
1998-01-01 42031
1999-01-01 41593
2000-01-01 44091
2001-01-01 43060
2002-01-01 43473
2003-01-01 43781
2004-01-01 45300
2005-01-01 46064
2006-01-01 46356
2007-01-01 51333
2008-01-01 51870
2009-01-01 52630
2010-01-01 50788
2011-01-01 48953
2012-01-01 53499
2013-01-01 44698
2014-01-01 55970
2015-01-01 57295
2016-01-01 57145
2017-01-01 59818
2018-01-01 62667
2019-01-01 66646
2020-01-01 67328
2021-01-01 67315
2022-01-01 75190

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