Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ontario County, NY
Series ID MHICILBNY36069A052NCEN
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 2:32 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 29848
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34576
1994-01-01 .
1995-01-01 35763
1996-01-01 .
1997-01-01 38250
1998-01-01 39828
1999-01-01 40366
2000-01-01 41960
2001-01-01 41573
2002-01-01 41607
2003-01-01 42461
2004-01-01 44165
2005-01-01 44906
2006-01-01 48319
2007-01-01 51732
2008-01-01 52322
2009-01-01 49604
2010-01-01 50143
2011-01-01 50271
2012-01-01 50435
2013-01-01 55802
2014-01-01 54671
2015-01-01 54413
2016-01-01 54695
2017-01-01 61935
2018-01-01 59755
2019-01-01 63525
2020-01-01 55015
2021-01-01 71020
2022-01-01 71909
2023-01-01 74115

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