Following PIE chart shows an overview of STATUS ( as of 21-04-2018 ) of various companies registered in Nagaland, India.
- Strike Off ( 48.4902% )
- Active ( 41.7407% )
- Under Process of Striking off ( 6.2167% )
- Not Available for eFiling ( 3.1972% )
- Amalgamated ( 0.1776% )
- Under liquidation ( 0.1776% )
Following PIE chart shows various companies categorized by their CLASS ( as of 21-04-2018 ), present in Nagaland, India.
- Private ( 90.4085% )
- Public ( 8.5258% )
- Private(One Person Company) ( 1.0657% )
Following PIE chart shows various companies categorized by their CATEGORY ( as of 21-04-2018 ), present in Nagaland, India.
- Company limited by Shares ( 98.2238% )
- Company Limited by Guarantee ( 1.7762% )
Following PIE chart shows various companies categorized by their SUB_CATEGORY ( as of 21-04-2018 ), present in Nagaland, India.
- Non-govt company ( 98.0462% )
- State Govt company ( 1.9538% )
Following PIE chart shows various companies categorized by their PRINCIPAL_BUSINESS_ACTIVITY ( as of 21-04-2018 ), present in Nagaland, India.
- Manufacturing (Wood Products) ( 21.3144% )
- Business Services ( 14.7425% )
- Trading ( 11.3677% )
- Agriculture and Allied Activities ( 11.0124% )
- Construction ( 6.3943% )
- Manufacturing (Metals & Chemicals, and products thereof) ( 5.3286% )
- Manufacturing (Food stuffs) ( 4.4405% )
- Electricity, Gas & Water companies ( 3.9076% )
- Community, personal & Social Services ( 3.7300% )
- Transport, storage and Communications ( 3.7300% )
- Real Estate and Renting ( 2.8419% )
- Finance ( 2.6643% )
- Mining & Quarrying ( 2.1314% )
- Manufacturing (Machinery & Equipments) ( 1.7762% )
- Others ( 1.4210% )
- Manufacturing (Textiles) ( 1.2433% )
- Manufacturing (Paper & Paper products, Publishing, printing and reproduction of recorded media) ( 1.0657% )
- Manufacturing (Others) ( 0.3552% )
- Manufacturing (Leather & products thereof) ( 0.3552% )
- OTHERS ( 0.1776% )
Companies registered in Nagaland gets categorized by Year of Registration, which is plotted as year of registration vs. #-of companies registered in that certain year ( while filtering out those companies which didn't had any date of registration data ).