Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Park County, CO
Series ID MHICILBCO08093A052NCEN
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 3:13 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 30619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36619
1994-01-01 .
1995-01-01 42208
1996-01-01 .
1997-01-01 42781
1998-01-01 46339
1999-01-01 48328
2000-01-01 50304
2001-01-01 50215
2002-01-01 49395
2003-01-01 48964
2004-01-01 49322
2005-01-01 50535
2006-01-01 55352
2007-01-01 56023
2008-01-01 58131
2009-01-01 57624
2010-01-01 61833
2011-01-01 52917
2012-01-01 56265
2013-01-01 51894
2014-01-01 53392
2015-01-01 58247
2016-01-01 61786
2017-01-01 62604
2018-01-01 65493
2019-01-01 68975
2020-01-01 67438
2021-01-01 74779
2022-01-01 77805
2023-01-01 94295

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