Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buena Vista County, IA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buena Vista County, IA
Series ID MHICIUBIA19021A052NCEN
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 3:12 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 29044
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32710
1994-01-01 .
1995-01-01 35563
1996-01-01 .
1997-01-01 38634
1998-01-01 38542
1999-01-01 37500
2000-01-01 39281
2001-01-01 38518
2002-01-01 38868
2003-01-01 38926
2004-01-01 41178
2005-01-01 39312
2006-01-01 41843
2007-01-01 42533
2008-01-01 47483
2009-01-01 47900
2010-01-01 48612
2011-01-01 50179
2012-01-01 48485
2013-01-01 51312
2014-01-01 54232
2015-01-01 56540
2016-01-01 56027
2017-01-01 58463
2018-01-01 57650
2019-01-01 60165
2020-01-01 69507
2021-01-01 67731
2022-01-01 74480
2023-01-01 72921

Subscribe to the FRED newsletter


Follow us

Back to Top