All Employees: Financial Activities in Idaho Falls, ID (MSA) was 2.90000 Thous. of Persons in January of 2022, according to the United States Federal Reserve. Historically, All Employees: Financial Activities in Idaho Falls, ID (MSA) reached a record high of 2.90000 in June of 2021 and a record low of 1.40000 in February of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Financial Activities in Idaho Falls, ID (MSA) - last updated from the United States Federal Reserve on March of 2023.

All Employees: Financial Activities in Glens Falls, NY (MSA) was 1.90000 Thous. of Persons in March of 2025, according to the United States Federal Reserve. Historically, All Employees: Financial Activities in Glens Falls, NY (MSA) reached a record high of 2.40000 in July of 1998 and a record low of 1.20000 in November of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Financial Activities in Glens Falls, NY (MSA) - last updated from the United States Federal Reserve on July of 2025.

Whole France data by sector of activity (according to the aggregated classification of 88 NAF posts) relating to the carryovers of contributions of the self-employed under the exceptional Urssaf measures linked to the COVID-19 crisis (due dates of 20 March and 5 and 20 of April, May, June, July and August 2020). In order to take into account the impact of the coronavirus outbreak on economic activity, the Urssaf network triggered exceptional measures to support companies with serious cash flow difficulties. For the self-employed, the deadlines between 20 March and 20 August have not been deducted. The related contribution amounts have been carried forward for smoothing over subsequent deadlines. Self-employed carry-overs are calculated on the basis of the projected income themselves based on 2018 income and then 2019 as soon as these are known. The deadlines set for the resumption of the recovery of contributions in September 2020 include a 50 % reduction in order to keep from the decline in activity linked to the COVID-19 crisis. This reduction is not taken into account here. The data are broken down by category of self-employed (artisan-traders or liberal professions), by month of maturity and by sector of activity. Source: ACOSS-Urssaf, situation as at 31/08/2020 Indicators: * Number of self-employed workers affected by carry-overs (*) * Amount of carryovers (*) WARNING: information on the number of IT concerned should be interpreted with caution. Indeed, because IT is counted by month due, the selection of a period covering more than one month leads to counting the same IT several times. Methodological clarifications: * the sector of activity “nca not elsewhere” includes the agricultural sector (AZ) for the general scheme (most of the AZ sector falls under the agricultural scheme, out of field here), extraterritorial activities (UZ) and unknown activities. DATAVIZ: putting in perspective

Chicago Fed National Activity Index in the United States increased to -0.10 points in June from -0.16 points in May of 2025. This dataset provides the latest reported value for - United States Chicago Fed National Activity Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

According to data from the European Central Bank, this graph displays the monthly exchange rate (as of the end of each month) of the euro to the Polish zloty (EUR/PLN). The concrete, or time, the measure shows the exchange rate as of the last day of each month, which is different from the standardized measure, a calculation of the average based on observations throughout the period in question.As of June 2025, the exchange rate of the euro to the zloty amounted to ****, a decrease from the previous month.   EUR/PLN exchange rate analysis      The initial phase of the economic activity breakdown in Poland and key global centers caused by the coronavirus epidemic is slowly passing. There is a growing belief in markets that many stimulus packages will improve the economic situation and allow for a relatively rapid return to growth. The recovery is conducive to recouping losses by emerging market currencies — among which is the Polish zloty. However, further strengthening of the Polish currency should be carried out gradually. The beginning of 2020 for the Polish zloty can be described as turbulent. The limited depreciation of the zloty against the euro in January and February turned into a violent sale in March. Starting from the beginning of the year to the minimum point that the zloty reached in relation to the euro in the second half of March, the Polish currency lost about ***** percent.   Fundamental analysis      Recently, the Polish zloty has made up for some of the losses. The Polish government reacted quickly to the crisis caused by the coronavirus pandemic. On ** March, the introduction of an "epidemic emergency" was announced, which on 20 March turned into an "epidemic state". Poland launched preventive measures relatively early, and the restrictions implemented were rather rigorous compared to many other European countries. Thus, economic activity in the country experienced a collapse. The GDP growth rate decreased from *** percent y/y in the fourth quarter of 2019 to *** percent in the first quarter of 2020. The data for the second quarter will undoubtedly show a much larger downturn scale, mostly due to the lockdown. April's data indicate an evident deterioration of the labor market situation. The data for the following months will most likely show a further increase in the unemployment rate. The Polish authorities have taken coordinated steps to support the economy during the crisis, assisting businesses and households. Under the two key adopted packages, the total value of measures is estimated at around *** billion zloty, equivalent to roughly ** percent of the country's GDP. Concerning the size of the economy, it is one of the most extensive aid packages among the European Union countries. Poland is in the process of opening the economy. This gives hope that economic activity in Poland will regain momentum. Apart from the significant fiscal and monetary stimulation undertaken by the Polish authorities, Poland can probably also count on considerable support from the EU. The new proposal of the European Commission assumes financial assistance for the EU countries. Poland will probably be one of the largest beneficiaries of this proposal if it is accepted in this or a similar form.

All Employees: Financial Activities in Sioux Falls, SD (MSA) was 14.60000 Thous. of Persons in March of 2025, according to the United States Federal Reserve. Historically, All Employees: Financial Activities in Sioux Falls, SD (MSA) reached a record high of 17.00000 in June of 2008 and a record low of 8.90000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Financial Activities in Sioux Falls, SD (MSA) - last updated from the United States Federal Reserve on July of 2025.

Ireland’s Architectural Activities industry generates revenue through fees for work mainly on a contractual basis for construction and building projects. Revenue volatility is steep due to changing economic conditions and shifting confidence in the economy. Demand for architects highly depends on the general economic climate and non-residential and residential building construction. Industry revenue is projected to swell at a compound annual rate of 0.9% over the five years through 2024 to €2.3 billion, including an estimated jump of 1.3% in 2024. Due to the housing supply shortage in Ireland, the government launched the Housing for All programme in 2021, underpinning revenue growth. Investment pumped into commercial property also led to revenue soaring. Construction activity dipped in 2020 due to disruption caused by COVID-19 restrictions, though demand for architects remained afloat with the number of planning permissions and housing starts remaining high. Soaring inflation and an uncertain economic climate globally have subdued business sentiment and investment since 2022, sinking revenue. However, as inflation has been largely controlled in 2024, interest rates from the ECB have begun to fall since June 2024, easing borrowing costs and kickstart activity in construction markets. This will boost demand for architects and aid profit for companies as more projects arise, boosting revenue. Architectural Activities revenue is forecast to inch upwards at a compound annual rate of 2.7% over the five years through 2029 to €2.7 billion. Improving economic conditions and government initiatives to boost housing and infrastructure (like Project Ireland 2040) will help drive demand for architects. However, intensifying competition from multidisciplinary firms offering a one-stop-shop solution limits revenue and profit growth.

Abstract

In pursuance of the recommendations made by the Governing Council (G.C.) of the National Sample Survey Organization (NSSO) in its 44th meeting held on 16 January 1987 to undertake a comprehensive survey on the socio-economic conditions of the tribal people in the 44th round (July 1988 - June 1989) of NSS, various schedules of enquiries on the subject were drawn up and tested in the field through a try-out survey. The schedules were discussed in details in the meetings of the Working Groups (W.G) set up by the G.C., NSSO for the NSS 44th round. In the light of the experiences gained through the try-out survey, the schedules of enquiry were finalized by the W.G. and subsequently approved by the G.C. of the NSSO in its 45th meeting held on 29 December 1987.

Schedules of investigation : In order to study the living conditions of tribals, it is, probably, imperative to know the environment in which the tribals live. Hence a village schedule (schedule type 3.1) was canvassed to collect information at village/hamlet level on the extent of availability of various facilities which have direct or indirect bearing on tribal life.

However, the major thrust in collecting information on living conditions of tribals will, obviously, be at the household level. There are various aspects of tribal life which need to be studied. From the point of view of analysis it would have, probably, been ideal to collect all the necessary information from the same set of sample households in an integrated manner. But as the factors are numerous, any attempt to accommodate all the items of information in a single schedule of enquiry will make the schedule unwieldy. It was, thus, decided to frame two schedules of enquiries for collecting information from the tribal households - one mainly on socio-economic aspects relating to the level of living of tribals (schedule type - 29.1) and the other on economic and enterprise aspects of the tribal households (schedule type 29.2).

Further, with a view to studying the problems of land alienation faced by the tribal population due to in-migration of non-tribals in the tribal areas and also to assess the differences in the socio-economic standard of living between the tribals and the non-tribals, a schedule of enquiry (schedule type 29.3) was designed for collecting information from the non-tribal households residing in the tribal areas.

In short, the following four schedules of enquiries have been framed for the tribal survey:

(i) Village schedule 3.1 : General information on village characteristics (ii) Household schedule 29.1 : Level of living of tribals (iii) Household schedule 29.2 :Economic activity of the tribals (iv) Household schedule 29.3 : Particulars of migration and ownership of land by non-tribals.

Here in this study the focus is Household schedule 29.1: Level of living of tribals.The object of the enquiry on the living condition of the tribal population carried out in the present round was to throw light on as many aspects as possible of the tribal population of this country. They will relate to aspects of their “level of the living” including demographic and activity particulars, family expenditure etc. as well as to their entrepreneurial activities.

Geographic coverage

National, State, Urban, Rural

Analysis unit

Households

Universe

All tribles Households within country

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design is, as usual, stratified two-stage with the census village as the first stage unit in the rural sector and UFS block as the first stage unit in the urban sector. The second stage units were households for all schedules.The sample design in the rural sector was decided with a view to providing good estimates for the tribal enquiry. Except in the north-eastern region, the tribal population was concentrated in some districts within the states having considerable tribal population and even in those districts they were found to be unevenly distributed geographically. Therefore special stratification and selection procedures were adopted not only to net sufficient number of tribal households in the sample but also to improve the design in general for the tribal enquiry.

Sampling frame of villages: The list of 1981 census villages constitute the sampling frame for selection of villages in most districts. However in Assam (where '81 census was not done) and a few districts of some other states (where the available lists of villages were not satisfactory), 1971 census village lists were used as frame.

Stratification : In Haryana, Jammu & Kashmir, Punjab, Chandigarh, Delhi, Goa, Daman & Diu and Pondicherry where there were practically no tribal population, the strata used in NSS 43rd round were retained. In Meghalaya, Mizoram, Nagaland, Arunachal Pradesh, Sikkim, Dadra and Nagar Haveli and Lakshadweep also the strata of 43rd round were retained because of the high percentage of ST. population in these States/U.T.'s. (The strata of 43rd round have been retained in the case of Sikkim as the distribution of tribal population is more or less uniform over all the districts).In the remaining states fresh stratification was carried out as described below.

In these states all districts accounting for the bulk of the states's tribal population were selected for formation of strata with concentration of tribal population. Besides these districts, tribal concentration strata were demarcated also in some other districts with relatively small tribal population in order to ensure coverage of as many different ethnic groups as possible.

Within each district so identified for formation of tribal concentration strata, the tehsils with relatively high concentration of tribal population, together constituted one stratum. These tehsils were selectd in such a way that together they accounted for the bulk (70% or more) of the district tribal population and the proportion of tribal to total population and the proportion of tribal to total population in this stratum was significantly greater than that of the district as a whole. The strata so formed were not always geographically contiguous. These tribal concentration strata are called STRATUM TYPE -1. Further, all the strata of Meghalaya, Mizoram, Nagaland, Arunachal Pradesh, Dadra & Nagar Haveli, Lakshdweep and Sikkim are also considered as stratum type-1. All the remaining strata in the rural sector (in any State/U.T.) were called stratum type -2.

General and special sample villages : There were two types of sample villages in this round. The first type was the general sample in which all enquiries were carried out. The second type was designated as "special sample villages" in which only schedules 3.1, 29.1, 29.2 and 29.3 were canvassed. The special sampleswere intended for augmenting the general sample for the tribal enquiry. These special sample villages were selected only from the tribal concentration strata (stratum type 1 ) of the 16 States and the U.T. OF Andaman & Nicobar Islands 1) of 16 States and the U.T. of Andaman & Nicobar Islands. There were no special sample villages in the remaining States/U.T.'s. The special samples were called sample type-1 and the general samples, sample type-2.

Schedules 29.1 was canvassed both in rural and urban sectors. Six households each from the frame of schedules tribe households in the villages of special as well as general samples falling in the tribal strata were canvassed. On the other hand only two households were selected from the sample villages of stratus type 2 as well as from each sample block in urban areas of the schedules 29.1. In the special sample villages requiring hamlet group formation, the hamlet group having maximum number of tribal population will be designated as area type 1 and the other hamlet group selected at random from the remaining hamlet groups will be called area type 2. From the area type 1, 4 tribal households will be selected, while only 2 tribal households will be sampled from area type 2 for he schedule - 29.1.

Detailed procedures of samp[ling may be seen in INSTRUCTIONS TO FIELD STAFF : VOLUME I attached as external resource.

Sampling deviation

There was no deviation from the original sample deviation.

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule 29.1 consisted of the following blocks :

Block 1 : identification of sample household

Block 2 : particulars of field operations

Block 3 : remarks by investigator

Block 4 : remarks by supervisory officers(s)

Block 5 : household characteristics

Block 6 : demographic, personal characteristics and migration particulars of household members.

Block 7 : particulars of education

Block 8 : usual and current week activity particulars

Block 9 : quality and value of purchase of selected commodities

Block 10: particulars of health care and morbidity

Block 11 : particulars of ceremonies performed by the household

Block 12 : cash purchase and consumption of food, tobacco, intoxicants, fuel & light, clothing and footwear

Block 13 : expenditure on miscellaneous goods and services, rents and taxes and durable goods for domestic use. Block 14 : particulars of dwelling unit.

Abstract

This research is a survey of unregistered businesses conducted in Rwanda from June to July 2011, simultaneously with Rwanda 2011 Enterprise Survey. Data from 240 informal businesses was analyzed.

The objective of World Bank firm-level surveys is to obtain feedback from enterprises in client countries on the state of the private sector, assess the constraints to private sector growth and create statistically significant business environment indicators that are comparable across countries.

Informal survey questionnaires are a shorter, tailored to unregistered businesses, version of Enterprise Survey questionnaires. The topics include general information about a business, infrastructure and services, sales and supplies, crime, sources and access to finance, business-government relationship, assets, AIDS and sickness (for African region), bribery, workforce composition, obstacles to get registration, reasons for not registering, and benefits that an establishment could get from registration. Business owners or managers are interviewed face-to-face.

The Informal Surveys are conducted using a uniform sampling methodology in order to minimize measurement error and yield data that are comparable across the world's economies.

Geographic coverage

Kigali and Butare

Analysis unit

The primary sampling unit of Informal Surveys is an unregistered establishment. For Rwanda, informal firms were defined as those not registered with the Rwanda Development Board.

Universe

The whole population, or the universe, covered in the survey is the non-agricultural informal economy. It comprises manufacturing and services businesses.

Kind of data

Sample survey data [ssd]

Sampling procedure

In each country, Informal Surveys are conducted in selected urban centers, which are intended to coincide with the locations for the implementation of the main Enterprise Surveys. The overall number of interviews is pre-determined, and these interviews are distributed between the two urban centers, according to criteria such as the level of business activity and each urban center's population, etc.

In Rwanda, the urban centers identified were Kigali and Butare. The target sample was 120 interviews for each urban center.

Sampling is conducted within clearly delineated sampling areas, which are geographically determined divisions within each urban center. Sampling areas are defined at the beginning of fieldwork, and are delineated according to the concentration and geographical dispersion of informal business activity. After the sampling sizes are defined for each location every city is divided into several areas that may or may not correspond to the administrative districts.

In both Kigali and Butare, for a total of 240 interviews, 16 sampling areas were identified: 12 in Kigali (Kimisagara, Muhima, Gitega, Nyamirambo, Remera, Gatsata, Gisozi, Kimironko, Rusororo/Kabuga, Gikondo, Gatenga and Kabeza/Kanombe) and 4 in Butare Mukoni, Rwabuye, Rwabuyanga, Centre Ville de Butare). Each area was divided in several sectors. In total 66 sectors were created.

In order to provide information on diverse aspects of the informal economy, the sample is designed to have equal proportions of services and manufacturing sectors (50:50). These sectors are defined by responses provided by each informal business to a question on the business's main activity included in the screener portion of the questionnaire.

As a general rule, services must constitute an ongoing business enterprise and so exclude the sale of manual labor. Manufacturing activity in the informal sector includes business activity requiring inputs and/or intermediate goods. Thus, for example, the processing of coffee, sugar, oil, dried fruit, or other processed foods is considered manufacturing, while the simple selling of these goods falls under services. If an informal business conducts a mixture of these activities, the business is considered under the manufacturing stratum.

Thus, each sampling area was designed with the goal of obtaining two interviews in services and two interviews in manufacturing. Each sampling area, including its two starting points, were delineated using Google maps, with the GPS coordinates of the starting points being systematically recorded.

The interviewers were instructed to attempt an interview at every address passed until 4 completed interviews were achieved. Once the 4 interviews were completed in each sector (two services and two manufacturing firms), the interviewer moved to the next start point.

Mode of data collection

Face-to-face [f2f]

Research instrument

One version of the questionnaire was used for all interviews.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1 (some exceptions apply due to comparability reasons). Variable names proceeded by a prefix "AF" indicate questions specific to Africa, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.

NY Empire State Manufacturing Index in the United States increased to 5.50 points in July from -16 points in June of 2025. This dataset provides the latest reported value for - United States NY Empire State Manufacturing Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Business Confidence in the United States increased to 49 points in June from 48.50 points in May of 2025. This dataset provides the latest reported value for - United States ISM Purchasing Managers Index (PMI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Business Confidence in China decreased to 49.30 points in July from 49.70 points in June of 2025. This dataset provides - China Business Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Philadelphia Fed Manufacturing Index in the United States increased to 15.90 points in July from -4 points in June of 2025. This dataset provides the latest reported value for - United States Philadelphia Fed Manufacturing Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Kansas Fed Manufacturing Index in the United States decreased to -3 points in July from 5 points in June of 2025. This dataset provides - United States Kansas Fed Manufacturing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Richmond Fed Manufacturing Index in the United States decreased to -20 points in July from -8 points in June of 2025. This dataset provides - United States Richmond Fed Manufacturing Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Providence-Fall River-Warwick, RI-MA - All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA) was 30.13656 Thous. of Persons in December of 2024, according to the United States Federal Reserve. Historically, Providence-Fall River-Warwick, RI-MA - All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA) reached a record high of 32.35816 in December of 2006 and a record low of 21.62904 in June of 1995. Trading Economics provides the current actual value, an historical data chart and related indicators for Providence-Fall River-Warwick, RI-MA - All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA) - last updated from the United States Federal Reserve on July of 2025.

The main stock market index of United States, the US500, rose to 6391 points on July 31, 2025, gaining 0.45% from the previous session. Over the past month, the index has climbed 3.12% and is up 17.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

Housing Starts in the United States increased to 1321 Thousand units in June from 1263 Thousand units in May of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Industrial Production in China increased 6.80 percent in June of 2025 over the same month in the previous year. This dataset provides - China Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Existing Home Sales in the United States decreased to 3930 Thousand in June from 4040 Thousand in May of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.