Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ontario County, NY
Series ID MHICIUBNY36069A052NCEN
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 1:09 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 34193
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38950
1994-01-01 .
1995-01-01 41754
1996-01-01 .
1997-01-01 44266
1998-01-01 45769
1999-01-01 45860
2000-01-01 48559
2001-01-01 47581
2002-01-01 47667
2003-01-01 48109
2004-01-01 50026
2005-01-01 50514
2006-01-01 53696
2007-01-01 56481
2008-01-01 58355
2009-01-01 55924
2010-01-01 56131
2011-01-01 54463
2012-01-01 55113
2013-01-01 59890
2014-01-01 62275
2015-01-01 61757
2016-01-01 61945
2017-01-01 68607
2018-01-01 66105
2019-01-01 69983
2020-01-01 70539
2021-01-01 81254
2022-01-01 81293

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